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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x55a86496d8d8>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x55a86496d8d8>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575      0.541     -1.06   -1.64      0.486   0.288 
#> 2 age, Cure model         0.00981    0.0104     0.943  -0.0106    0.0302  0.346 
#> 3 grade_ii, Cure model    0.109      0.323      0.336  -0.525     0.742   0.737 
#> 4 grade_iii, Cure model   0.824      0.355      2.32    0.127     1.52    0.0204
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00903    -0.290  -0.0203    0.0151  0.772 
#> 2 grade_ii, Survival mo…  0.570     0.264       2.15    0.0513    1.09    0.0312
#> 3 grade_iii, Survival m…  0.346     0.238       1.45   -0.121     0.813   0.147 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2929483858 0.0001082733 0.1044469165 0.1262796115
#> 
#> $b_sd
#> [1] 0.54124707 0.01040544 0.32318248 0.35535843
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.0623670        0.9431113        0.3358549        2.3185019 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.28806910       0.34562398       0.73698032       0.02042206 
#> 
#> $beta_var
#> [1] 8.154481e-05 6.990491e-02 5.679819e-02
#> 
#> $beta_sd
#> [1] 0.009030216 0.264395373 0.238323701
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2897064        2.1539892        1.4513201 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.77204083       0.03124102       0.14669075 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001966861               0.350926729               0.160441258 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86805923              0.01757316             -0.23395094 
#>   grade_iii, Cure model 
#>              1.17046064 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 8     18.43      1  32        0         0
#> 179   18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 16     8.71      1  71        0         1
#> 150   20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 153   21.33      1  55        1         0
#> 158   20.14      1  74        1         0
#> 177   12.53      1  75        0         0
#> 30    17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 108   18.29      1  39        0         1
#> 96    14.54      1  33        0         1
#> 194.1 22.40      1  38        0         1
#> 36    21.19      1  48        0         1
#> 157   15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 99    21.19      1  38        0         1
#> 167   15.55      1  56        1         0
#> 5.1   16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 127    3.53      1  62        0         1
#> 14    12.89      1  21        0         0
#> 180   14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 50    10.02      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 55    19.34      1  69        0         1
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 150.1 20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 99.1  21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 85.1  16.44      1  36        0         0
#> 69    23.23      1  25        0         1
#> 157.1 15.10      1  47        0         0
#> 49    12.19      1  48        1         0
#> 16.1   8.71      1  71        0         1
#> 99.2  21.19      1  38        0         1
#> 153.1 21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 77     7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 184   17.77      1  38        0         0
#> 16.2   8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 134   17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 76    19.22      1  54        0         1
#> 16.3   8.71      1  71        0         1
#> 101    9.97      1  10        0         1
#> 114   13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 96.2  14.54      1  33        0         1
#> 51    18.23      1  83        0         1
#> 153.2 21.33      1  55        1         0
#> 85.2  16.44      1  36        0         0
#> 110   17.56      1  65        0         1
#> 81.1  14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 86.1  23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 6     15.64      1  39        0         0
#> 8.1   18.43      1  32        0         0
#> 114.1 13.68      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 24.1  23.89      1  38        0         0
#> 14.1  12.89      1  21        0         0
#> 187    9.92      1  39        1         0
#> 5.2   16.43      1  51        0         1
#> 187.1  9.92      1  39        1         0
#> 78    23.88      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 159.1 10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 106.1 16.67      1  49        1         0
#> 60.1  13.15      1  38        1         0
#> 88    18.37      1  47        0         0
#> 134.1 17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 180.1 14.82      1  37        0         0
#> 55.1  19.34      1  69        0         1
#> 184.2 17.77      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 42    12.43      1  49        0         1
#> 36.1  21.19      1  48        0         1
#> 167.1 15.55      1  56        1         0
#> 199.1 19.81      1  NA        0         1
#> 5.3   16.43      1  51        0         1
#> 79    16.23      1  54        1         0
#> 125.1 15.65      1  67        1         0
#> 85.3  16.44      1  36        0         0
#> 110.1 17.56      1  65        0         1
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 143   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 193   24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 53    24.00      0  32        0         1
#> 152.1 24.00      0  36        0         1
#> 53.1  24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 118   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 75    24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 109.1 24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 193.2 24.00      0  45        0         1
#> 132   24.00      0  55        0         0
#> 163   24.00      0  66        0         0
#> 161.2 24.00      0  45        0         0
#> 143.1 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 174.1 24.00      0  49        1         0
#> 144.1 24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 161.3 24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 156.2 24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 174.2 24.00      0  49        1         0
#> 75.1  24.00      0  21        1         0
#> 172.1 24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 35.1  24.00      0  51        0         0
#> 109.2 24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 33.2  24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 54.1  24.00      0  53        1         0
#> 27.2  24.00      0  63        1         0
#> 162.2 24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.868         NA        NA      NA
#> 2 age, Cure model           0.0176        NA        NA      NA
#> 3 grade_ii, Cure model     -0.234         NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00197        NA        NA      NA
#> 2 grade_ii, Survival model   0.351          NA        NA      NA
#> 3 grade_iii, Survival model  0.160          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86806           0.01757          -0.23395           1.17046  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 246.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86805923       0.01757316      -0.23395094       1.17046064 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001966861      0.350926729      0.160441258 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.07355755 0.39219405 0.38253466 0.58114101 0.95693335 0.29314200
#>   [7] 0.17440784 0.19974076 0.31362528 0.82228720 0.51183220 0.75215040
#>  [13] 0.32382219 0.42081634 0.72861949 0.17440784 0.23296980 0.69678582
#>  [19] 0.82228720 0.23296980 0.66448702 0.58114101 0.68875678 0.99279556
#>  [25] 0.79908142 0.71271606 0.79129968 0.62308456 0.72861949 0.16070000
#>  [31] 0.62308456 0.33397907 0.63978775 0.81455648 0.29314200 0.54708925
#>  [37] 0.23296980 0.91281978 0.11870331 0.54708925 0.13296287 0.69678582
#>  [43] 0.86800906 0.95693335 0.23296980 0.19974076 0.52078067 0.98557402
#>  [49] 0.28264126 0.46727600 0.95693335 0.37285423 0.44917716 0.43982229
#>  [55] 0.02136538 0.14687619 0.88308816 0.46727600 0.89799094 0.35357973
#>  [61] 0.95693335 0.93496924 0.87556742 0.76789780 0.72861949 0.43035941
#>  [67] 0.19974076 0.54708925 0.49404062 0.75215040 0.52970958 0.07355755
#>  [73] 0.10338693 0.65622472 0.39219405 0.68067459 0.02136538 0.79908142
#>  [79] 0.94235035 0.58114101 0.94235035 0.05404169 0.91281978 0.88308816
#>  [85] 0.35357973 0.78347571 0.83763032 0.86041359 0.83763032 0.52970958
#>  [91] 0.76789780 0.41121501 0.44917716 0.92757660 0.71271606 0.33397907
#>  [97] 0.46727600 0.89799094 0.85280972 0.23296980 0.66448702 0.58114101
#> [103] 0.61460927 0.63978775 0.54708925 0.49404062 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    86     8   179     5    16   150   194   153   158   177    30    81   105 
#> 23.81 18.43 18.63 16.43  8.71 20.33 22.40 21.33 20.14 12.53 17.43 14.06 19.75 
#>   108    96 194.1    36   157 177.1    99   167   5.1    18   127    14   180 
#> 18.29 14.54 22.40 21.19 15.10 12.53 21.19 15.55 16.43 15.21  3.53 12.89 14.82 
#>   123    26  96.1    15  26.1    55   125   140 150.1    85  99.1    93   129 
#> 13.00 15.77 14.54 22.68 15.77 19.34 15.65 12.68 20.33 16.44 21.19 10.33 23.41 
#>  85.1    69 157.1    49  16.1  99.2 153.1    23    77   190   184  16.2    97 
#> 16.44 23.23 15.10 12.19  8.71 21.19 21.33 16.92  7.27 20.81 17.77  8.71 19.14 
#>   134    41    24   113   159 184.1    52    76  16.3   101   107    60  96.2 
#> 17.81 18.02 23.89 22.86 10.55 17.77 10.42 19.22  8.71  9.97 11.18 13.15 14.54 
#>    51 153.2  85.2   110  81.1   106  86.1   164     6   8.1    29  24.1  14.1 
#> 18.23 21.33 16.44 17.56 14.06 16.67 23.81 23.60 15.64 18.43 15.45 23.89 12.89 
#>   187   5.2 187.1    78  93.1 159.1  76.1   155    37    56  37.1 106.1  60.1 
#>  9.92 16.43  9.92 23.88 10.33 10.55 19.22 13.08 12.52 12.21 12.52 16.67 13.15 
#>    88 134.1    61 180.1  55.1 184.2  52.1    42  36.1 167.1   5.3    79 125.1 
#> 18.37 17.81 10.12 14.82 19.34 17.77 10.42 12.43 21.19 15.55 16.43 16.23 15.65 
#>  85.3 110.1     9   152    27   156 156.1    34   143    20   147   193   122 
#> 16.44 17.56 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 162.1    54    53 152.1  53.1   119    33   161 161.1   118 193.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   109   196   148   174   116    72   112    75   138   160   178    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   102   144 193.2   132   163 161.2 143.1    64   121   142    28 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1     1    48    47   141    80    22 163.1 161.3    65  65.1 147.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2   186 174.2  75.1 172.1  33.1 142.1   104 160.1   9.1  27.1 186.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  35.1 109.2    84  33.2   131  54.1  27.2 162.2   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02078333                0.40725440                0.68483264 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.091623453             0.004763515            -0.051357836 
#>   grade_iii, Cure model 
#>             0.189731683 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 78    23.88      1  43        0         0
#> 150   20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 40    18.00      1  28        1         0
#> 199   19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 78.1  23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 167   15.55      1  56        1         0
#> 129   23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 51    18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 23    16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 68    20.62      1  44        0         0
#> 89    11.44      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 40.1  18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 136   21.83      1  43        0         1
#> 66    22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 56    12.21      1  60        0         0
#> 25     6.32      1  34        1         0
#> 60    13.15      1  38        1         0
#> 78.2  23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 78.3  23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 8     18.43      1  32        0         0
#> 177.1 12.53      1  75        0         0
#> 169.1 22.41      1  46        0         0
#> 89.1  11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 5.1   16.43      1  51        0         1
#> 24    23.89      1  38        0         0
#> 155.1 13.08      1  26        0         0
#> 92    22.92      1  47        0         1
#> 24.1  23.89      1  38        0         0
#> 23.1  16.92      1  61        0         0
#> 100.1 16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 114.1 13.68      1  NA        0         0
#> 40.2  18.00      1  28        1         0
#> 100.2 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 188.1 16.16      1  46        0         1
#> 181   16.46      1  45        0         1
#> 197.1 21.60      1  69        1         0
#> 81.1  14.06      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 24.2  23.89      1  38        0         0
#> 130.1 16.47      1  53        0         1
#> 106   16.67      1  49        1         0
#> 158   20.14      1  74        1         0
#> 130.2 16.47      1  53        0         1
#> 91.1   5.33      1  61        0         1
#> 76    19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 37.1  12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 77.1   7.27      1  67        0         1
#> 30    17.43      1  78        0         0
#> 129.1 23.41      1  53        1         0
#> 58    19.34      1  39        0         0
#> 5.2   16.43      1  51        0         1
#> 78.4  23.88      1  43        0         0
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 30.1  17.43      1  78        0         0
#> 63.2  22.77      1  31        1         0
#> 181.1 16.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 194   22.40      1  38        0         1
#> 63.3  22.77      1  31        1         0
#> 69    23.23      1  25        0         1
#> 5.3   16.43      1  51        0         1
#> 76.2  19.22      1  54        0         1
#> 42.1  12.43      1  49        0         1
#> 177.2 12.53      1  75        0         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 74    24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 156.1 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 121.1 24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 178.1 24.00      0  52        1         0
#> 72.1  24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 82    24.00      0  34        0         0
#> 1     24.00      0  23        1         0
#> 143   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 17    24.00      0  38        0         1
#> 95.2  24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 82.1  24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 163   24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 200.2 24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 163.1 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 126.1 24.00      0  48        0         0
#> 95.3  24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 176   24.00      0  43        0         1
#> 11.1  24.00      0  42        0         1
#> 94    24.00      0  51        0         1
#> 121.2 24.00      0  57        1         0
#> 165.1 24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 47.1  24.00      0  38        0         1
#> 31.1  24.00      0  36        0         1
#> 82.2  24.00      0  34        0         0
#> 151   24.00      0  42        0         0
#> 109.1 24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 109.2 24.00      0  48        0         0
#> 109.3 24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 35    24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 174   24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 198.2 24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0916         NA        NA      NA
#> 2 age, Cure model          0.00476        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0514         NA        NA      NA
#> 4 grade_iii, Cure model    0.190          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0208        NA        NA      NA
#> 2 grade_ii, Survival model    0.407         NA        NA      NA
#> 3 grade_iii, Survival model   0.685         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.091623          0.004764         -0.051358          0.189732  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 262.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.091623453      0.004763515     -0.051357836      0.189731683 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02078333       0.40725440       0.68483264 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8637620 0.9046429 0.9954062 0.3649311 0.7457355 0.7251242 0.9259047
#>   [8] 0.8122590 0.5701046 0.9317644 0.9545287 0.3649311 0.9858317 0.9783617
#>  [15] 0.9199455 0.4759216 0.7649227 0.8074768 0.9758147 0.7321393 0.9138475
#>  [22] 0.8983367 0.8519155 0.8853918 0.6683979 0.8676151 0.6872099 0.8351698
#>  [29] 0.7389842 0.9882917 0.9517090 0.6270728 0.8122590 0.5426541 0.6780548
#>  [36] 0.6585352 0.5426541 0.8023894 0.6157107 0.7031592 0.9732269 0.9930405
#>  [43] 0.9375312 0.3649311 0.8478443 0.8307223 0.7108537 0.3649311 0.9626920
#>  [50] 0.7972480 0.9545287 0.6270728 0.9432172 0.8853918 0.2317729 0.9432172
#>  [57] 0.5279785 0.2317729 0.8519155 0.9046429 0.9808773 0.7108537 0.8122590
#>  [64] 0.9046429 0.7920751 0.8983367 0.8784116 0.6872099 0.9317644 0.9375312
#>  [71] 0.2317729 0.8676151 0.8598452 0.7523837 0.8676151 0.9954062 0.7765169
#>  [78] 0.5701046 0.9626920 0.8261103 0.9833607 0.9488787 0.9882917 0.8395186
#>  [85] 0.4759216 0.7649227 0.8853918 0.3649311 0.9680238 0.9169131 0.8395186
#>  [92] 0.5701046 0.8784116 0.7765169 0.9288581 0.7586976 0.6483667 0.5701046
#>  [99] 0.5113278 0.8853918 0.7765169 0.9680238 0.9545287 0.9229403 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000
#> 
#> $Time
#>   171   100    91    78   150    32   180    40    63    81   177  78.1    70 
#> 16.57 16.07  5.33 23.88 20.33 20.90 14.82 18.00 22.77 14.06 12.53 23.88  7.38 
#>   145   167   129    55    51    43   190     6   188    23     5   175   130 
#> 10.07 15.55 23.41 19.34 18.23 12.10 20.81 15.64 16.16 16.92 16.43 21.91 16.47 
#>   197   111    68    77   154   169  40.1   113   136    66 113.1    88    15 
#> 21.60 17.45 20.62  7.27 12.63 22.41 18.00 22.86 21.83 22.13 22.86 18.37 22.68 
#>   153    56    25    60  78.2    45   110    99  78.3    37     8 177.1 169.1 
#> 21.33 12.21  6.32 13.15 23.88 17.42 17.56 21.19 23.88 12.52 18.43 12.53 22.41 
#>   155   5.1    24 155.1    92  24.1  23.1 100.1   183  99.1  40.2 100.2   179 
#> 13.08 16.43 23.89 13.08 22.92 23.89 16.92 16.07  9.24 21.19 18.00 16.07 18.63 
#> 188.1   181 197.1  81.1  60.1  24.2 130.1   106   158 130.2  91.1    76  63.1 
#> 16.16 16.46 21.60 14.06 13.15 23.89 16.47 16.67 20.14 16.47  5.33 19.22 22.77 
#>  37.1   184   149    14  77.1    30 129.1    58   5.2  78.4    42    39  30.1 
#> 12.52 17.77  8.37 12.89  7.27 17.43 23.41 19.34 16.43 23.88 12.43 15.59 17.43 
#>  63.2 181.1  76.1    13   166   194  63.3    69   5.3  76.2  42.1 177.2    18 
#> 22.77 16.46 19.22 14.34 19.98 22.40 22.77 23.23 16.43 19.22 12.43 12.53 15.21 
#>    74    72   185   193     9    46   200    22    80    95  95.1   156    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 156.1   121 200.1    53   161   104   178    83 121.1   165   9.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1  72.1   147    82     1   143     2    17  95.2   142    12   126   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1     3   122   163   1.1 200.2    11    34   120    64 163.1    84 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.3    47  83.1   144   176  11.1    94 121.2 165.1   198   109  47.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2   151 109.1  12.1 109.2 109.3 143.1   182    35    75   174   146    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1 198.1   138   196   118  80.1   152 198.2  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007331583               0.018914927               0.021213878 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88433706              0.01602315              0.08699840 
#>   grade_iii, Cure model 
#>              0.96022712 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 175.1 21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 86    23.81      1  58        0         1
#> 57    14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 63.1  22.77      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 130   16.47      1  53        0         1
#> 168   23.72      1  70        0         0
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 58.1  19.34      1  39        0         0
#> 45.1  17.42      1  54        0         1
#> 60    13.15      1  38        1         0
#> 4     17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 187    9.92      1  39        1         0
#> 167   15.55      1  56        1         0
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 60.1  13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 127    3.53      1  62        0         1
#> 188   16.16      1  46        0         1
#> 61    10.12      1  36        0         1
#> 114   13.68      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 91.1   5.33      1  61        0         1
#> 26.1  15.77      1  49        0         1
#> 127.1  3.53      1  62        0         1
#> 158   20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 96    14.54      1  33        0         1
#> 85    16.44      1  36        0         0
#> 86.1  23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 157   15.10      1  47        0         0
#> 136   21.83      1  43        0         1
#> 106   16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 129.1 23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 8     18.43      1  32        0         0
#> 192   16.44      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 133.2 14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 15.1  22.68      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 107   11.18      1  54        1         0
#> 92.1  22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 170.1 19.54      1  43        0         1
#> 99.1  21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 170.2 19.54      1  43        0         1
#> 170.3 19.54      1  43        0         1
#> 60.2  13.15      1  38        1         0
#> 4.1   17.64      1  NA        0         1
#> 169.1 22.41      1  46        0         0
#> 190.1 20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 181.2 16.46      1  45        0         1
#> 175.2 21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 63.2  22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 6.1   15.64      1  39        0         0
#> 49    12.19      1  48        1         0
#> 157.1 15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 129.2 23.41      1  53        1         0
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 11    24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 84    24.00      0  39        0         1
#> 148   24.00      0  61        1         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 22    24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 53.1  24.00      0  32        0         1
#> 34    24.00      0  36        0         0
#> 109   24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 46.1  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 73    24.00      0  NA        0         1
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 53.2  24.00      0  32        0         1
#> 3.1   24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 46.2  24.00      0  71        0         0
#> 3.2   24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 161.1 24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 38    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 34.2  24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 165   24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 103.1 24.00      0  56        1         0
#> 22.1  24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 172.2 24.00      0  41        0         0
#> 119.1 24.00      0  17        0         0
#> 12.1  24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 109.1 24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 144.1 24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 11.2  24.00      0  42        0         1
#> 104   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.884         NA        NA      NA
#> 2 age, Cure model           0.0160        NA        NA      NA
#> 3 grade_ii, Cure model      0.0870        NA        NA      NA
#> 4 grade_iii, Cure model     0.960         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00733        NA        NA      NA
#> 2 grade_ii, Survival model   0.0189         NA        NA      NA
#> 3 grade_iii, Survival model  0.0212         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88434           0.01602           0.08700           0.96023  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 249.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88433706       0.01602315       0.08699840       0.96022712 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007331583      0.018914927      0.021213878 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.26656271 0.73752221 0.79754552 0.32310725 0.61049325 0.58520495
#>   [7] 0.45240023 0.71443870 0.20648249 0.47130523 0.32310725 0.87654776
#>  [13] 0.04686896 0.82657221 0.72221167 0.10948145 0.43342354 0.97341083
#>  [19] 0.79012754 0.20648249 0.79754552 0.90476253 0.60204273 0.92561313
#>  [25] 0.53328515 0.89071912 0.50662885 0.95987283 0.65155798 0.08887707
#>  [31] 0.56802884 0.61885447 0.88365426 0.19290193 0.28954663 0.50662885
#>  [37] 0.61885447 0.84818739 0.37543720 0.94624201 0.76026887 0.52440104
#>  [43] 0.24275737 0.16618484 0.84818739 0.41382417 0.98675998 0.70661873
#>  [49] 0.93251135 0.55936460 0.37543720 0.97341083 0.72221167 0.98675998
#>  [55] 0.46192557 0.91868934 0.81928145 0.69099117 0.04686896 0.86943165
#>  [61] 0.84098297 0.93939277 0.77531811 0.35438495 0.64342098 0.76781848
#>  [67] 0.10948145 0.31191112 0.54207481 0.69099117 0.37543720 0.79754552
#>  [73] 0.36500475 0.24275737 0.28954663 0.65155798 0.96665769 0.91173960
#>  [79] 0.16618484 0.15113198 0.47130523 0.37543720 0.66752960 0.82657221
#>  [85] 0.66752960 0.47130523 0.47130523 0.84818739 0.26656271 0.43342354
#>  [91] 0.74516456 0.57664493 0.66752960 0.32310725 0.54207481 0.20648249
#>  [97] 0.63523641 0.58520495 0.42366201 0.74516456 0.89775315 0.77531811
#> [103] 0.95307364 0.10948145 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   169   125   133   175    30   184   128   100    63   170 175.1    14    86 
#> 22.41 15.65 14.65 21.91 17.43 17.77 20.35 16.07 22.77 19.54 21.91 12.89 23.81 
#>    57    26   129   190    91   180  63.1 133.1    43   117    93    97    56 
#> 14.46 15.77 23.41 20.81  5.33 14.82 22.77 14.65 12.10 17.46 10.33 19.14 12.21 
#>    58   149   130   168    41    45   177   113   194  58.1  45.1    60    36 
#> 19.34  8.37 16.47 23.72 18.02 17.42 12.53 22.86 22.40 19.34 17.42 13.15 21.19 
#>   187   167    76    15    92  60.1    90   127   188    61   108    99  91.1 
#>  9.92 15.55 19.22 22.68 22.92 13.15 20.94  3.53 16.16 10.12 18.29 21.19  5.33 
#>  26.1 127.1   158    52    96    85  86.1   123    13   145   157   136   106 
#> 15.77  3.53 20.14 10.42 14.54 16.44 23.81 13.00 14.34 10.07 15.10 21.83 16.67 
#>    29 129.1    66     8   192  36.1 133.2   139  15.1 194.1 130.1    77   107 
#> 15.45 23.41 22.13 18.43 16.44 21.19 14.65 21.49 22.68 22.40 16.47  7.27 11.18 
#>  92.1    69 170.1  99.1   181  57.1 181.1 170.2 170.3  60.2 169.1 190.1     6 
#> 22.92 23.23 19.54 21.19 16.46 14.46 16.46 19.54 19.54 13.15 22.41 20.81 15.64 
#>   134 181.2 175.2   8.1  63.2    23 184.1    32   6.1    49 157.1   183 129.2 
#> 17.81 16.46 21.91 18.43 22.77 16.92 17.77 20.90 15.64 12.19 15.10  9.24 23.41 
#>    53   160   147    46    12   103     3   176   198   112    11   141   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   148   172    67    22    31   193   162 148.1  53.1    34   109    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   146  46.1   143  34.1   178  33.1   135    82     2  53.2   3.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1   186   131  46.2   3.2   2.1 161.1   132   191    38    54   137    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2   126 172.1    98   165   119 103.1  22.1   185 172.2 119.1  12.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   196  47.1 198.1    80    65    64   156 156.1    35 144.1     9  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.2   104    95  35.1  64.1  98.1 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009092689               0.744491058               0.565386031 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.47182023              0.02682031             -0.14422945 
#>   grade_iii, Cure model 
#>              1.21435359 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 57    14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 23    16.92      1  61        0         0
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 26.1  15.77      1  49        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 108   18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 179   18.63      1  42        0         0
#> 179.1 18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 81    14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 78    23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 32    20.90      1  37        1         0
#> 89    11.44      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 79    16.23      1  54        1         0
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 130   16.47      1  53        0         1
#> 30    17.43      1  78        0         0
#> 130.1 16.47      1  53        0         1
#> 93.1  10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 108.1 18.29      1  39        0         1
#> 8.1   18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 99    21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 123   13.00      1  44        1         0
#> 168   23.72      1  70        0         0
#> 199   19.81      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 77.1   7.27      1  67        0         1
#> 59    10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 155.1 13.08      1  26        0         0
#> 40    18.00      1  28        1         0
#> 125   15.65      1  67        1         0
#> 114   13.68      1  NA        0         0
#> 184.1 17.77      1  38        0         0
#> 168.1 23.72      1  70        0         0
#> 43    12.10      1  61        0         1
#> 24    23.89      1  38        0         0
#> 85    16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 76    19.22      1  54        0         1
#> 69    23.23      1  25        0         1
#> 5     16.43      1  51        0         1
#> 136   21.83      1  43        0         1
#> 77.2   7.27      1  67        0         1
#> 96    14.54      1  33        0         1
#> 76.1  19.22      1  54        0         1
#> 30.1  17.43      1  78        0         0
#> 32.1  20.90      1  37        1         0
#> 59.1  10.16      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 13.2  14.34      1  54        0         1
#> 108.2 18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 189.1 10.51      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 133.1 14.65      1  57        0         0
#> 127.1  3.53      1  62        0         1
#> 188   16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 51.2  18.23      1  83        0         1
#> 168.2 23.72      1  70        0         0
#> 155.2 13.08      1  26        0         0
#> 105   19.75      1  60        0         0
#> 197   21.60      1  69        1         0
#> 66    22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 150   20.33      1  48        0         0
#> 42    12.43      1  49        0         1
#> 125.1 15.65      1  67        1         0
#> 25.1   6.32      1  34        1         0
#> 66.1  22.13      1  53        0         0
#> 180   14.82      1  37        0         0
#> 189.2 10.51      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 155.3 13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 81.2  14.06      1  34        0         0
#> 107   11.18      1  54        1         0
#> 97.1  19.14      1  65        0         1
#> 45.2  17.42      1  54        0         1
#> 117   17.46      1  26        0         1
#> 175   21.91      1  43        0         0
#> 70     7.38      1  30        1         0
#> 128   20.35      1  35        0         1
#> 149    8.37      1  33        1         0
#> 93.2  10.33      1  52        0         1
#> 44    24.00      0  56        0         0
#> 122   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 21.2  24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 161   24.00      0  45        0         0
#> 151   24.00      0  42        0         0
#> 173   24.00      0  19        0         1
#> 12    24.00      0  63        0         0
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 178   24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 31    24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 53.1  24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 173.1 24.00      0  19        0         1
#> 82.1  24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 82.2  24.00      0  34        0         0
#> 53.2  24.00      0  32        0         1
#> 122.1 24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 161.1 24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 84    24.00      0  39        0         1
#> 2     24.00      0   9        0         0
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 83.1  24.00      0   6        0         0
#> 161.2 24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 148.1 24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 7.1   24.00      0  37        1         0
#> 83.2  24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 21.3  24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 161.3 24.00      0  45        0         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 11.1  24.00      0  42        0         1
#> 83.3  24.00      0   6        0         0
#> 174.1 24.00      0  49        1         0
#> 174.2 24.00      0  49        1         0
#> 148.2 24.00      0  61        1         0
#> 20.1  24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 80.1  24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.47          NA        NA      NA
#> 2 age, Cure model           0.0268        NA        NA      NA
#> 3 grade_ii, Cure model     -0.144         NA        NA      NA
#> 4 grade_iii, Cure model     1.21          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00909        NA        NA      NA
#> 2 grade_ii, Survival model   0.744          NA        NA      NA
#> 3 grade_iii, Survival model  0.565          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.47182           0.02682          -0.14423           1.21435  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 239.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.47182023       0.02682031      -0.14422945       1.21435359 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009092689      0.744491058      0.565386031 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.397158455 0.574912023 0.720745844 0.495698527 0.633616201 0.525111335
#>   [7] 0.924299764 0.952774404 0.633616201 0.672173538 0.981128871 0.169292004
#>  [13] 0.327815906 0.866422532 0.287427460 0.287427460 0.730483860 0.759222776
#>  [19] 0.267834544 0.436402535 0.895386587 0.006915959 0.218915359 0.179828717
#>  [25] 0.759222776 0.691518264 0.604396199 0.357248313 0.357248313 0.788254026
#>  [31] 0.074787033 0.730483860 0.545195430 0.475799036 0.545195430 0.866422532
#>  [37] 0.307454085 0.327815906 0.307454085 0.416645452 0.148729762 0.564967582
#>  [43] 0.456313577 0.827122456 0.021519598 0.535186206 0.924299764 0.045468264
#>  [49] 0.788254026 0.387106141 0.652936074 0.416645452 0.021519598 0.846797298
#>  [55] 0.001683886 0.574912023 0.218915359 0.248278462 0.055780020 0.594525024
#>  [61] 0.126696563 0.924299764 0.710985534 0.248278462 0.475799036 0.179828717
#>  [67] 0.084516256 0.730483860 0.327815906 0.014242772 0.456313577 0.397158455
#>  [73] 0.691518264 0.981128871 0.614221084 0.065384330 0.357248313 0.021519598
#>  [79] 0.788254026 0.238238004 0.137767615 0.094644907 0.148729762 0.208964752
#>  [85] 0.836967237 0.652936074 0.952774404 0.094644907 0.681826301 0.495698527
#>  [91] 0.788254026 0.971647199 0.614221084 0.759222776 0.856626129 0.267834544
#>  [97] 0.495698527 0.446401293 0.115438840 0.914721853 0.199179008 0.905083113
#> [103] 0.866422532 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   134   192    57    45    26    23    77    25  26.1    39   127    90   108 
#> 17.81 16.44 14.46 17.42 15.77 16.92  7.27  6.32 15.77 15.59  3.53 20.94 18.29 
#>    93   179 179.1    13    81    97   110   101    78   158    32  81.1   133 
#> 10.33 18.63 18.63 14.34 14.06 19.14 17.56  9.97 23.88 20.14 20.90 14.06 14.65 
#>    79    51  51.1   155   113  13.1   130    30 130.1  93.1     8 108.1   8.1 
#> 16.23 18.23 18.23 13.08 22.86 14.34 16.47 17.43 16.47 10.33 18.43 18.29 18.43 
#>   184    99   181   111   123   168   106  77.1   164 155.1    40   125 184.1 
#> 17.77 21.19 16.46 17.45 13.00 23.72 16.67  7.27 23.60 13.08 18.00 15.65 17.77 
#> 168.1    43    24    85 158.1    76    69     5   136  77.2    96  76.1  30.1 
#> 23.72 12.10 23.89 16.44 20.14 19.22 23.23 16.43 21.83  7.27 14.54 19.22 17.43 
#>  32.1   169  13.2 108.2    86 111.1 134.1 133.1 127.1   188    92  51.2 168.2 
#> 20.90 22.41 14.34 18.29 23.81 17.45 17.81 14.65  3.53 16.16 22.92 18.23 23.72 
#> 155.2   105   197    66    36   150    42 125.1  25.1  66.1   180  45.1 155.3 
#> 13.08 19.75 21.60 22.13 21.19 20.33 12.43 15.65  6.32 22.13 14.82 17.42 13.08 
#>    91 188.1  81.2   107  97.1  45.2   117   175    70   128   149  93.2    44 
#>  5.33 16.16 14.06 11.18 19.14 17.42 17.46 21.91  7.38 20.35  8.37 10.33 24.00 
#>   122    75   132   162    21  21.1    80   156    53   148    65    34  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   161   151   173    12     3   160    20   102    82     7    35    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   116   178 102.1    31   142  53.1    11 173.1  82.1   131  82.2  53.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1 142.1   200 161.1    46    87    83    84     2    67   191  44.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2    47   143   104 148.1    98    72   141  87.1   121   144   7.1  83.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120  21.3     1    17   176 161.3   138    33    64  11.1  83.3 174.1 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.2  20.1    27  31.1 138.1   103   152  80.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01247234                0.87813198                0.71056073 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.37441764              0.03199333             -0.24038882 
#>   grade_iii, Cure model 
#>              0.51046363 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 107   11.18      1  54        1         0
#> 13    14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 153   21.33      1  55        1         0
#> 183    9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 158   20.14      1  74        1         0
#> 180   14.82      1  37        0         0
#> 105.2 19.75      1  60        0         0
#> 14    12.89      1  21        0         0
#> 187    9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 97.1  19.14      1  65        0         1
#> 88    18.37      1  47        0         0
#> 16.1   8.71      1  71        0         1
#> 24    23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 39    15.59      1  37        0         1
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 140   12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 106   16.67      1  49        1         0
#> 68    20.62      1  44        0         0
#> 199   19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 125   15.65      1  67        1         0
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 169.1 22.41      1  46        0         0
#> 105.3 19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 134   17.81      1  47        1         0
#> 111   17.45      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 171.1 16.57      1  41        0         1
#> 169.2 22.41      1  46        0         0
#> 108.1 18.29      1  39        0         1
#> 39.1  15.59      1  37        0         1
#> 197   21.60      1  69        1         0
#> 158.1 20.14      1  74        1         0
#> 30    17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 134.1 17.81      1  47        1         0
#> 123   13.00      1  44        1         0
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 159.1 10.55      1  50        0         1
#> 169.3 22.41      1  46        0         0
#> 127.1  3.53      1  62        0         1
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 187.1  9.92      1  39        1         0
#> 8     18.43      1  32        0         0
#> 40    18.00      1  28        1         0
#> 76.1  19.22      1  54        0         1
#> 32.1  20.90      1  37        1         0
#> 90.1  20.94      1  50        0         1
#> 190   20.81      1  42        1         0
#> 125.1 15.65      1  67        1         0
#> 8.1   18.43      1  32        0         0
#> 76.2  19.22      1  54        0         1
#> 183.2  9.24      1  67        1         0
#> 175   21.91      1  43        0         0
#> 41    18.02      1  40        1         0
#> 125.2 15.65      1  67        1         0
#> 128   20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 123.1 13.00      1  44        1         0
#> 91.1   5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 114   13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 70     7.38      1  30        1         0
#> 45.1  17.42      1  54        0         1
#> 169.4 22.41      1  46        0         0
#> 59    10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 86    23.81      1  58        0         1
#> 32.2  20.90      1  37        1         0
#> 123.2 13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 90.2  20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 127.2  3.53      1  62        0         1
#> 18.1  15.21      1  49        1         0
#> 164   23.60      1  76        0         1
#> 102   24.00      0  49        0         0
#> 148   24.00      0  61        1         0
#> 165   24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 20    24.00      0  46        1         0
#> 193   24.00      0  45        0         1
#> 73    24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 102.1 24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 160   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 74.1  24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 121.1 24.00      0  57        1         0
#> 148.1 24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 9.1   24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 135   24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 65    24.00      0  57        1         0
#> 75.2  24.00      0  21        1         0
#> 174   24.00      0  49        1         0
#> 143.1 24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 22    24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 138.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 151.1 24.00      0  42        0         0
#> 142.1 24.00      0  53        0         0
#> 121.2 24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 2     24.00      0   9        0         0
#> 80.2  24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 54.1  24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 54.2  24.00      0  53        1         0
#> 116   24.00      0  58        0         1
#> 156.1 24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 126.1 24.00      0  48        0         0
#> 2.1   24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 22.1  24.00      0  52        1         0
#> 142.2 24.00      0  53        0         0
#> 185.1 24.00      0  44        1         0
#> 126.2 24.00      0  48        0         0
#> 118.1 24.00      0  44        1         0
#> 198.2 24.00      0  66        0         1
#> 137.1 24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 103.1 24.00      0  56        1         0
#> 20.1  24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.37          NA        NA      NA
#> 2 age, Cure model           0.0320        NA        NA      NA
#> 3 grade_ii, Cure model     -0.240         NA        NA      NA
#> 4 grade_iii, Cure model     0.510         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0125        NA        NA      NA
#> 2 grade_ii, Survival model    0.878         NA        NA      NA
#> 3 grade_iii, Survival model   0.711         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.37442           0.03199          -0.24039           0.51046  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.37441764       0.03199333      -0.24038882       0.51046363 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01247234       0.87813198       0.71056073 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.277711513 0.954057331 0.277711513 0.916896116 0.355813664 0.804648230
#>   [7] 0.690092494 0.032293318 0.126517053 0.889199828 0.795132674 0.776088659
#>  [13] 0.249851415 0.680404531 0.277711513 0.737846000 0.870613223 0.842245556
#>  [19] 0.526191845 0.355813664 0.395965685 0.916896116 0.001107275 0.240524355
#>  [25] 0.889199828 0.622892906 0.861172628 0.545662118 0.651751590 0.756976915
#>  [31] 0.186278743 0.516283417 0.222074649 0.406344169 0.105478158 0.823466374
#>  [37] 0.584498856 0.326539973 0.023992644 0.032293318 0.277711513 0.972467904
#>  [43] 0.457126666 0.476695893 0.105478158 0.766584907 0.526191845 0.032293318
#>  [49] 0.406344169 0.622892906 0.084041586 0.249851415 0.486555968 0.613135365
#>  [55] 0.574772146 0.316440408 0.785580263 0.642086443 0.084041586 0.457126666
#>  [61] 0.709504692 0.137316305 0.010272059 0.823466374 0.032293318 0.972467904
#>  [67] 0.699775328 0.157485115 0.137316305 0.870613223 0.375713089 0.447087819
#>  [73] 0.326539973 0.186278743 0.157485115 0.212952922 0.584498856 0.375713089
#>  [79] 0.326539973 0.889199828 0.072497474 0.436889361 0.584498856 0.231357446
#>  [85] 0.268216909 0.545662118 0.804648230 0.709504692 0.954057331 0.426579935
#>  [91] 0.565021243 0.670767293 0.737846000 0.496541915 0.944815991 0.496541915
#>  [97] 0.032293318 0.851724808 0.005519167 0.186278743 0.709504692 0.935515039
#> [103] 0.157485115 0.972467904 0.651751590 0.016821477 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   105    91 105.1    16    97   107    13   169   153   183    49    42   158 
#> 19.75  5.33 19.75  8.71 19.14 11.18 14.34 22.41 21.33  9.24 12.19 12.43 20.14 
#>   180 105.2    14   187    10   171  97.1    88  16.1    24   150 183.1    39 
#> 14.82 19.75 12.89  9.92 10.53 16.57 19.14 18.37  8.71 23.89 20.33  9.24 15.59 
#>   145   181    18   140    32   106    68   108   139   159   125    76    15 
#> 10.07 16.46 15.21 12.68 20.90 16.67 20.62 18.29 21.49 10.55 15.65 19.22 22.68 
#> 169.1 105.3   127   134   111 139.1   154 171.1 169.2 108.1  39.1   197 158.1 
#> 22.41 19.75  3.53 17.81 17.45 21.49 12.63 16.57 22.41 18.29 15.59 21.60 20.14 
#>    30     6   188   170    56    29 197.1 134.1   123    36   168 159.1 169.3 
#> 17.43 15.64 16.16 19.54 12.21 15.45 21.60 17.81 13.00 21.19 23.72 10.55 22.41 
#> 127.1    81    90    99 187.1     8    40  76.1  32.1  90.1   190 125.1   8.1 
#>  3.53 14.06 20.94 21.19  9.92 18.43 18.00 19.22 20.90 20.94 20.81 15.65 18.43 
#>  76.2 183.2   175    41 125.2   128   166 181.1 107.1 123.1  91.1    51     5 
#> 19.22  9.24 21.91 18.02 15.65 20.35 19.98 16.46 11.18 13.00  5.33 18.23 16.43 
#>   157  14.1    45    70  45.1 169.4    61    86  32.2 123.2   149  90.2 127.2 
#> 15.10 12.89 17.42  7.38 17.42 22.41 10.12 23.81 20.90 13.00  8.37 20.94  3.53 
#>  18.1   164   102   148   165    34   198   156   121     9 198.1    20   193 
#> 15.21 23.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    75   162   118   143  75.1   103    80    74   120 102.1    54   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    98  74.1   151 121.1 148.1   141 120.1    11   9.1    17    87   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   176   119    64    65  75.2   174 143.1  80.1   186   138 193.1    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84 138.1   142     1 196.1 151.1 142.1 121.2    12     2  80.2   126   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1   137   144    47    72  54.2   116 156.1  84.1 126.1   2.1   185    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  22.1 142.2 185.1 126.2 118.1 198.2 137.1   1.1 103.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007307508               0.760235421               0.470427039 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.451087068             0.004510584             0.272592389 
#>   grade_iii, Cure model 
#>             1.057295398 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 68    20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 86    23.81      1  58        0         1
#> 114   13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 24    23.89      1  38        0         0
#> 81    14.06      1  34        0         0
#> 25     6.32      1  34        1         0
#> 117   17.46      1  26        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 40    18.00      1  28        1         0
#> 117.1 17.46      1  26        0         1
#> 124    9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 92    22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 177   12.53      1  75        0         0
#> 4     17.64      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 32    20.90      1  37        1         0
#> 133   14.65      1  57        0         0
#> 184   17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 10.1  10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 40.1  18.00      1  28        1         0
#> 114.1 13.68      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 184.1 17.77      1  38        0         0
#> 184.2 17.77      1  38        0         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 79    16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 4.1   17.64      1  NA        0         1
#> 4.2   17.64      1  NA        0         1
#> 92.1  22.92      1  47        0         1
#> 58    19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 134   17.81      1  47        1         0
#> 24.2  23.89      1  38        0         0
#> 159.1 10.55      1  50        0         1
#> 189.1 10.51      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 14.1  12.89      1  21        0         0
#> 70     7.38      1  30        1         0
#> 51    18.23      1  83        0         1
#> 106   16.67      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 63.1  22.77      1  31        1         0
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 167.1 15.55      1  56        1         0
#> 16.1   8.71      1  71        0         1
#> 15.1  22.68      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 114.2 13.68      1  NA        0         0
#> 40.2  18.00      1  28        1         0
#> 8.2   18.43      1  32        0         0
#> 159.2 10.55      1  50        0         1
#> 177.1 12.53      1  75        0         0
#> 199.1 19.81      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 189.2 10.51      1  NA        1         0
#> 183.2  9.24      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 136   21.83      1  43        0         1
#> 61    10.12      1  36        0         1
#> 97.1  19.14      1  65        0         1
#> 183.3  9.24      1  67        1         0
#> 51.1  18.23      1  83        0         1
#> 128.1 20.35      1  35        0         1
#> 113.1 22.86      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 58.1  19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 134.2 17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 168   23.72      1  70        0         0
#> 91.1   5.33      1  61        0         1
#> 4.3   17.64      1  NA        0         1
#> 25.1   6.32      1  34        1         0
#> 32.1  20.90      1  37        1         0
#> 158   20.14      1  74        1         0
#> 101    9.97      1  10        0         1
#> 114.3 13.68      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 71    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 48    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 200   24.00      0  64        0         0
#> 71.1  24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 17    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 120   24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 146.1 24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 53.1  24.00      0  32        0         1
#> 28    24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 67.1  24.00      0  25        0         0
#> 151   24.00      0  42        0         0
#> 185   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 200.1 24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 83    24.00      0   6        0         0
#> 173   24.00      0  19        0         1
#> 7.1   24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 116   24.00      0  58        0         1
#> 46    24.00      0  71        0         0
#> 64.1  24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 161.1 24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 172.1 24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 112   24.00      0  61        0         0
#> 115.1 24.00      0  NA        1         0
#> 20.1  24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 21.1  24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 38    24.00      0  31        1         0
#> 126.2 24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 48.1  24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 163   24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 72.1  24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 95.2  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 83.2  24.00      0   6        0         0
#> 21.2  24.00      0  47        0         0
#> 82    24.00      0  34        0         0
#> 7.2   24.00      0  37        1         0
#> 75.1  24.00      0  21        1         0
#> 186   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 185.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.451          NA        NA      NA
#> 2 age, Cure model          0.00451        NA        NA      NA
#> 3 grade_ii, Cure model     0.273          NA        NA      NA
#> 4 grade_iii, Cure model    1.06           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00731        NA        NA      NA
#> 2 grade_ii, Survival model   0.760          NA        NA      NA
#> 3 grade_iii, Survival model  0.470          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.451087          0.004511          0.272592          1.057295  
#> 
#> Degrees of Freedom: 177 Total (i.e. Null);  174 Residual
#> Null Deviance:	    246.2 
#> Residual Deviance: 238.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.451087068      0.004510584      0.272592389      1.057295398 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007307508      0.760235421      0.470427039 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7237742 0.9258777 0.4980519 0.7802887 0.2070450 0.8306716 0.8597706
#>   [8] 0.8062814 0.0804602 0.8540133 0.9811646 0.7383617 0.5306291 0.5093259
#>  [15] 0.8482451 0.6542256 0.7383617 0.8655198 0.6000631 0.3042933 0.6275755
#>  [22] 0.8936653 0.9046251 0.8826065 0.4755685 0.8365576 0.7012942 0.0804602
#>  [29] 0.9258777 0.6000631 0.4059822 0.5813507 0.6542256 0.8125751 0.9469126
#>  [36] 0.9469126 0.9100544 0.7667230 0.7012942 0.7012942 0.7936353 0.9666019
#>  [43] 0.7870235 0.4631167 0.3404803 0.8246984 0.3042933 0.5616400 0.3756184
#>  [50] 0.7667230 0.1716226 0.6785812 0.0804602 0.9100544 0.5306291 0.6785812
#>  [57] 0.8655198 0.9763290 0.6368275 0.7526845 0.7237742 0.7597413 0.3756184
#>  [64] 0.2617672 0.8769549 0.8125751 0.9666019 0.4059822 0.7936353 0.6542256
#>  [71] 0.6000631 0.9100544 0.8936653 0.9469126 0.2617672 0.4354222 0.9364229
#>  [78] 0.5813507 0.9469126 0.6368275 0.5093259 0.3404803 0.8826065 0.5616400
#>  [85] 0.9906494 0.6785812 0.8424224 0.2354631 0.9906494 0.9811646 0.4755685
#>  [92] 0.5515792 0.9416783 0.4498102 0.0000000 0.0000000 0.0000000 0.0000000
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   110    10    68     5    86    18   155    39    24    81    25   117   150 
#> 17.56 10.53 20.62 16.43 23.81 15.21 13.08 15.59 23.89 14.06  6.32 17.46 20.33 
#>   128    13    40 117.1    14     8    92    88   177    49   154    32   133 
#> 20.35 14.34 18.00 17.46 12.89 18.43 22.92 18.37 12.53 12.19 12.63 20.90 14.65 
#>   184  24.1  10.1   8.1    15    97  40.1   167   183 183.1   159   130 184.1 
#> 17.77 23.89 10.53 18.43 22.68 19.14 18.00 15.55  9.24  9.24 10.55 16.47 17.77 
#> 184.2   125    16    79   139   113    29  92.1    58    63 130.1    78   134 
#> 17.77 15.65  8.71 16.23 21.49 22.86 15.45 22.92 19.34 22.77 16.47 23.88 17.81 
#>  24.2 159.1 150.1 134.1  14.1    70    51   106 110.1   171  63.1    69   140 
#> 23.89 10.55 20.33 17.81 12.89  7.38 18.23 16.67 17.56 16.57 22.77 23.23 12.68 
#> 167.1  16.1  15.1 125.1  40.2   8.2 159.2 177.1 183.2  69.1   136    61  97.1 
#> 15.55  8.71 22.68 15.65 18.00 18.43 10.55 12.53  9.24 23.23 21.83 10.12 19.14 
#> 183.3  51.1 128.1 113.1 154.1  58.1    91 134.2    96   168  91.1  25.1  32.1 
#>  9.24 18.23 20.35 22.86 12.63 19.34  5.33 17.81 14.54 23.72  5.33  6.32 20.90 
#>   158   101   197    71   126    20   132    75    48   156    67    53   146 
#> 20.14  9.97 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  71.1   162    35 126.1    17   120    95     9   118    64 146.1  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   121 162.1   141     7  53.1    28   182  67.1   151   185   161 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    65     1    83   173   7.1   116    46  64.1   172 161.1   131    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   198    21 172.1   135   112  20.1    27  21.1   119     2  83.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2   102  48.1 119.1   163 102.1  72.1 118.1   193  95.2   176  38.1  83.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2    82   7.2  75.1   186  28.1 185.1   148 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008301942               0.574098655               0.426532493 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.96555828              0.02172000              0.04395919 
#>   grade_iii, Cure model 
#>              0.53245735 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 159   10.55      1  50        0         1
#> 113   22.86      1  34        0         0
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 37    12.52      1  57        1         0
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 76    19.22      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 40    18.00      1  28        1         0
#> 51    18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 167.1 15.55      1  56        1         0
#> 5.1   16.43      1  51        0         1
#> 145   10.07      1  65        1         0
#> 93    10.33      1  52        0         1
#> 105   19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 140.1 12.68      1  59        1         0
#> 107   11.18      1  54        1         0
#> 145.1 10.07      1  65        1         0
#> 153   21.33      1  55        1         0
#> 187    9.92      1  39        1         0
#> 18.1  15.21      1  49        1         0
#> 23.1  16.92      1  61        0         0
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 164   23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 29    15.45      1  68        1         0
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 133   14.65      1  57        0         0
#> 58    19.34      1  39        0         0
#> 14    12.89      1  21        0         0
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 5.2   16.43      1  51        0         1
#> 16     8.71      1  71        0         1
#> 100   16.07      1  60        0         0
#> 68    20.62      1  44        0         0
#> 14.1  12.89      1  21        0         0
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 184   17.77      1  38        0         0
#> 168.1 23.72      1  70        0         0
#> 134   17.81      1  47        1         0
#> 164.1 23.60      1  76        0         1
#> 77     7.27      1  67        0         1
#> 14.2  12.89      1  21        0         0
#> 171   16.57      1  41        0         1
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 68.1  20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 81.1  14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 36    21.19      1  48        0         1
#> 10.1  10.53      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 105.1 19.75      1  60        0         0
#> 68.2  20.62      1  44        0         0
#> 79    16.23      1  54        1         0
#> 106   16.67      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 23.2  16.92      1  61        0         0
#> 110   17.56      1  65        0         1
#> 8     18.43      1  32        0         0
#> 153.1 21.33      1  55        1         0
#> 159.1 10.55      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 167.2 15.55      1  56        1         0
#> 40.1  18.00      1  28        1         0
#> 14.3  12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 61.1  10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 8.1   18.43      1  32        0         0
#> 150   20.33      1  48        0         0
#> 96    14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 97.1  19.14      1  65        0         1
#> 5.3   16.43      1  51        0         1
#> 129.1 23.41      1  53        1         0
#> 92.2  22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 153.2 21.33      1  55        1         0
#> 52    10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 197.1 21.60      1  69        1         0
#> 76.1  19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 37.1  12.52      1  57        1         0
#> 113.1 22.86      1  34        0         0
#> 76.2  19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 114   13.68      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 58.1  19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 144   24.00      0  28        0         1
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 11    24.00      0  42        0         1
#> 135   24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 196.1 24.00      0  19        0         0
#> 142   24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 142.1 24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 196.2 24.00      0  19        0         0
#> 102   24.00      0  49        0         0
#> 172.1 24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 142.2 24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 115.1 24.00      0  NA        1         0
#> 176.1 24.00      0  43        0         1
#> 142.3 24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 142.4 24.00      0  53        0         0
#> 176.2 24.00      0  43        0         1
#> 75.1  24.00      0  21        1         0
#> 47    24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 176.3 24.00      0  43        0         1
#> 84.1  24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 132.2 24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 48.1  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 142.5 24.00      0  53        0         0
#> 121.1 24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 84.2  24.00      0  39        0         1
#> 11.1  24.00      0  42        0         1
#> 200.1 24.00      0  64        0         0
#> 1     24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 3.2   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 156.1 24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 73    24.00      0  NA        0         1
#> 3.3   24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 98.1  24.00      0  34        1         0
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 132.3 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.966         NA        NA      NA
#> 2 age, Cure model           0.0217        NA        NA      NA
#> 3 grade_ii, Cure model      0.0440        NA        NA      NA
#> 4 grade_iii, Cure model     0.532         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00830        NA        NA      NA
#> 2 grade_ii, Survival model   0.574          NA        NA      NA
#> 3 grade_iii, Survival model  0.427          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.96556           0.02172           0.04396           0.53246  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.96555828       0.02172000       0.04395919       0.53245735 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008301942      0.574098655      0.426532493 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.708860476 0.854289860 0.107698791 0.612528813 0.786204542 0.912598360
#>   [7] 0.083063434 0.805662266 0.467218062 0.205914390 0.144101090 0.314703813
#>  [13] 0.083063434 0.409782474 0.399989729 0.545104083 0.612528813 0.545104083
#>  [19] 0.931981853 0.902826190 0.268099677 0.660561819 0.786204542 0.844567293
#>  [25] 0.931981853 0.162293065 0.951351232 0.660561819 0.467218062 0.990251622
#>  [31] 0.020192205 0.037172695 0.602742757 0.641264341 0.380487997 0.249906295
#>  [37] 0.980511339 0.679757221 0.295940492 0.747687930 0.515902151 0.873619330
#>  [43] 0.545104083 0.961057476 0.592936521 0.223610471 0.747687930 0.188282689
#>  [49] 0.438326578 0.020192205 0.428769017 0.037172695 0.970778480 0.747687930
#>  [55] 0.506083399 0.012705672 0.286572376 0.699171768 0.073781703 0.223610471
#>  [61] 0.728234849 0.708860476 0.342479263 0.188282689 0.873619330 0.055875089
#>  [67] 0.268099677 0.223610471 0.583193504 0.496247483 0.134698421 0.467218062
#>  [73] 0.447940863 0.361366960 0.162293065 0.854289860 0.641264341 0.612528813
#>  [79] 0.409782474 0.747687930 0.525710760 0.912598360 0.003225667 0.361366960
#>  [85] 0.258950462 0.689475756 0.825070258 0.457577272 0.342479263 0.545104083
#>  [91] 0.055875089 0.083063434 0.390252039 0.162293065 0.893054566 0.834829701
#>  [97] 0.144101090 0.314703813 0.525710760 0.805662266 0.107698791 0.314703813
#> [103] 0.737948944 0.214808472 0.295940492 0.125523888 0.003225667 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    81   159   113   167   140    61    92    37    23    32   197    76  92.1 
#> 14.06 10.55 22.86 15.55 12.68 10.12 22.92 12.52 16.92 20.90 21.60 19.22 22.92 
#>    40    51     5 167.1   5.1   145    93   105    18 140.1   107 145.1   153 
#> 18.00 18.23 16.43 15.55 16.43 10.07 10.33 19.75 15.21 12.68 11.18 10.07 21.33 
#>   187  18.1  23.1   127   168   164    39    29    88   128    91   133    58 
#>  9.92 15.21 16.92  3.53 23.72 23.60 15.59 15.45 18.37 20.35  5.33 14.65 19.34 
#>    14   181    10   5.2    16   100    68  14.1    99   184 168.1   134 164.1 
#> 12.89 16.46 10.53 16.43  8.71 16.07 20.62 12.89 21.19 17.77 23.72 17.81 23.60 
#>    77  14.2   171    78   170    57    69  68.1    60  81.1    97    36  10.1 
#>  7.27 12.89 16.57 23.88 19.54 14.46 23.23 20.62 13.15 14.06 19.14 21.19 10.53 
#>   129 105.1  68.2    79   106    66  23.2   110     8 153.1 159.1  29.1 167.2 
#> 23.41 19.75 20.62 16.23 16.67 22.13 16.92 17.56 18.43 21.33 10.55 15.45 15.55 
#>  40.1  14.3   192  61.1    24   8.1   150    96    42    45  97.1   5.3 129.1 
#> 18.00 12.89 16.44 10.12 23.89 18.43 20.33 14.54 12.43 17.42 19.14 16.43 23.41 
#>  92.2   108 153.2    52    49 197.1  76.1    85  37.1 113.1  76.2   155   190 
#> 22.92 18.29 21.33 10.42 12.19 21.60 19.22 16.44 12.52 22.86 19.22 13.08 20.81 
#>  58.1   194  24.1   144   176     3    72   112   196   132    11   135   174 
#> 19.34 22.40 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1   142   172    48 135.1   193   121    84    20 142.1    75 196.2   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    98   104    34 142.2   126   160   156  72.1 176.1 142.3    71    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 142.4 176.2  75.1    47    80   191 176.3  84.1    94    33    17    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141  94.1 132.2    44  48.1     9 142.5 121.1  47.1   198    65   200  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1 200.1     1    38   3.1   131    46    87   3.2   109 156.1  80.1   3.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   146   103  98.1    64    27  33.1   9.1   173 132.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005116424               1.017401526               0.453873749 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.52174302              0.01269559             -0.57451361 
#>   grade_iii, Cure model 
#>              0.73025853 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 113   22.86      1  34        0         0
#> 184   17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 49.1  12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 32.1  20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 66    22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 108   18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 13.1  14.34      1  54        0         1
#> 90    20.94      1  50        0         1
#> 66.1  22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 96.1  14.54      1  33        0         1
#> 5     16.43      1  51        0         1
#> 100   16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 155.1 13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 136.1 21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 154   12.63      1  20        1         0
#> 155.2 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 78    23.88      1  43        0         0
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 123.2 13.00      1  44        1         0
#> 195.1 11.76      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 130   16.47      1  53        0         1
#> 60    13.15      1  38        1         0
#> 150.1 20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 164.1 23.60      1  76        0         1
#> 130.1 16.47      1  53        0         1
#> 199   19.81      1  NA        0         1
#> 13.2  14.34      1  54        0         1
#> 10    10.53      1  34        0         0
#> 159.1 10.55      1  50        0         1
#> 183    9.24      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 159.2 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 183.1  9.24      1  67        1         0
#> 96.2  14.54      1  33        0         1
#> 99.1  21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 150.2 20.33      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 78.1  23.88      1  43        0         0
#> 150.3 20.33      1  48        0         0
#> 181   16.46      1  45        0         1
#> 81.1  14.06      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 86.1  23.81      1  58        0         1
#> 188.2 16.16      1  46        0         1
#> 78.2  23.88      1  43        0         0
#> 117.1 17.46      1  26        0         1
#> 188.3 16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 110   17.56      1  65        0         1
#> 59.1  10.16      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 159.3 10.55      1  50        0         1
#> 96.3  14.54      1  33        0         1
#> 30.1  17.43      1  78        0         0
#> 128.1 20.35      1  35        0         1
#> 77.1   7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 4.1   17.64      1  NA        0         1
#> 96.4  14.54      1  33        0         1
#> 158   20.14      1  74        1         0
#> 133   14.65      1  57        0         0
#> 185   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 54    24.00      0  53        1         0
#> 196.1 24.00      0  19        0         0
#> 126   24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 191   24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 7     24.00      0  37        1         0
#> 196.2 24.00      0  19        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 72    24.00      0  40        0         1
#> 142   24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 2.1   24.00      0   9        0         0
#> 142.1 24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 126.1 24.00      0  48        0         0
#> 67.1  24.00      0  25        0         0
#> 152   24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 152.1 24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 67.2  24.00      0  25        0         0
#> 137.1 24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 27    24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 137.2 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 147.1 24.00      0  76        1         0
#> 54.1  24.00      0  53        1         0
#> 72.2  24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 152.2 24.00      0  36        0         1
#> 196.3 24.00      0  19        0         0
#> 103.1 24.00      0  56        1         0
#> 198   24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 102.1 24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 198.1 24.00      0  66        0         1
#> 200.1 24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 72.3  24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 74    24.00      0  43        0         1
#> 102.2 24.00      0  49        0         0
#> 191.1 24.00      0  60        0         1
#> 160.1 24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.522         NA        NA      NA
#> 2 age, Cure model           0.0127        NA        NA      NA
#> 3 grade_ii, Cure model     -0.575         NA        NA      NA
#> 4 grade_iii, Cure model     0.730         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00512        NA        NA      NA
#> 2 grade_ii, Survival model   1.02           NA        NA      NA
#> 3 grade_iii, Survival model  0.454          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.5217            0.0127           -0.5745            0.7303  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.52174302       0.01269559      -0.57451361       0.73025853 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005116424      1.017401526      0.453873749 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.262562323 0.361115665 0.440452716 0.131235149 0.421059051 0.860752614
#>   [7] 0.459295592 0.573126740 0.179701778 0.860752614 0.216945398 0.876605865
#>  [13] 0.192683472 0.769392675 0.923581414 0.106716200 0.262562323 0.119125022
#>  [19] 0.401387734 0.302196135 0.795213207 0.155015772 0.674167752 0.717249182
#>  [25] 0.646962505 0.628255056 0.351122632 0.468768992 0.371182348 0.969951099
#>  [31] 0.795213207 0.082320323 0.637682651 0.828300146 0.391380523 0.006742728
#>  [37] 0.717249182 0.251206928 0.155015772 0.743233487 0.506637562 0.674167752
#>  [43] 0.563633612 0.609591619 0.057490750 0.411387568 0.381298675 0.769392675
#>  [49] 0.487774636 0.923581414 0.192683472 0.836454775 0.820059004 0.769392675
#>  [55] 0.228792866 0.022716144 0.282598574 0.977490316 0.795213207 0.487774636
#>  [61] 0.525690728 0.760724389 0.302196135 0.131235149 0.082320323 0.525690728
#>  [67] 0.717249182 0.907781068 0.876605865 0.954774248 0.609591619 0.876605865
#>  [73] 0.992483540 0.954774248 0.674167752 0.228792866 0.947036475 0.302196135
#>  [79] 0.836454775 0.506637562 0.022716144 0.302196135 0.544606552 0.743233487
#>  [85] 0.573126740 0.057490750 0.573126740 0.022716144 0.440452716 0.573126740
#>  [91] 0.915688282 0.554106342 0.430769954 0.852613912 0.876605865 0.674167752
#>  [97] 0.468768992 0.282598574 0.977490316 0.656117192 0.939217851 0.674167752
#> [103] 0.341191164 0.665126982 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    32   105   117   113   184    49   111   188   175  49.1   197   159   136 
#> 20.90 19.75 17.46 22.86 17.77 12.19 17.45 16.16 21.91 12.19 21.60 10.55 21.83 
#>   155    61    69  32.1    92    51   150   123    66    96    13    29     6 
#> 13.08 10.12 23.23 20.90 22.92 18.23 20.33 13.00 22.13 14.54 14.34 15.45 15.64 
#>   166    30    58   149 123.1   164   167    37   108    24  13.1    90  66.1 
#> 19.98 17.43 19.34  8.37 13.00 23.60 15.55 12.52 18.29 23.89 14.34 20.94 22.13 
#>    81    23  96.1     5   100    86    40    97 155.1    45  61.1 136.1    42 
#> 14.06 16.92 14.54 16.43 16.07 23.81 18.00 19.14 13.08 17.42 10.12 21.83 12.43 
#>   154 155.2    99    78   128    77 123.2  45.1   130    60 150.1 113.1 164.1 
#> 12.63 13.08 21.19 23.88 20.35  7.27 13.00 17.42 16.47 13.15 20.33 22.86 23.60 
#> 130.1  13.2    10 159.1   183 100.1 159.2    91 183.1  96.2  99.1   187 150.2 
#> 16.47 14.34 10.53 10.55  9.24 16.07 10.55  5.33  9.24 14.54 21.19  9.92 20.33 
#>  42.1  23.1  78.1 150.3   181  81.1 188.1  86.1 188.2  78.2 117.1 188.3    93 
#> 12.43 16.92 23.88 20.33 16.46 14.06 16.16 23.81 16.16 23.88 17.46 16.16 10.33 
#>    85   110    56 159.3  96.3  30.1 128.1  77.1    18   101  96.4   158   133 
#> 16.44 17.56 12.21 10.55 14.54 17.43 20.35  7.27 15.21  9.97 14.54 20.14 14.65 
#>   185   178   196    11    54 196.1   126   174   160   137    87   191     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    21    28    46   144    67   143   165    53     7 196.2   173   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   142   200   2.1 142.1  28.1   172   147   176    75 126.1  67.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   118  72.1   151    19     9   156 152.1    22   119    65     3   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.2 137.1   103    27   102 137.2    33   148   135 147.1  54.1  72.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.2 196.3 103.1   198    62 102.1   146     1 198.1 200.1    94  72.3   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    74 102.2 191.1 160.1  19.1    31  11.1 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006257022               0.927522982               0.642993903 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.72696997              0.01075882              0.27343531 
#>   grade_iii, Cure model 
#>              1.36591815 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 50    10.02      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 171   16.57      1  41        0         1
#> 177   12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 93    10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 128   20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 130.1 16.47      1  53        0         1
#> 99    21.19      1  38        0         1
#> 41    18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 57    14.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 32.1  20.90      1  37        1         0
#> 159   10.55      1  50        0         1
#> 170.1 19.54      1  43        0         1
#> 166   19.98      1  48        0         0
#> 24    23.89      1  38        0         0
#> 30    17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 36    21.19      1  48        0         1
#> 106   16.67      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 187    9.92      1  39        1         0
#> 51    18.23      1  83        0         1
#> 171.1 16.57      1  41        0         1
#> 106.1 16.67      1  49        1         0
#> 15    22.68      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 36.1  21.19      1  48        0         1
#> 89    11.44      1  NA        0         0
#> 169.1 22.41      1  46        0         0
#> 40    18.00      1  28        1         0
#> 140.1 12.68      1  59        1         0
#> 128.1 20.35      1  35        0         1
#> 60.1  13.15      1  38        1         0
#> 155   13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 111.1 17.45      1  47        0         1
#> 93.1  10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 169.2 22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 51.1  18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 41.1  18.02      1  40        1         0
#> 25     6.32      1  34        1         0
#> 169.3 22.41      1  46        0         0
#> 188   16.16      1  46        0         1
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 130.2 16.47      1  53        0         1
#> 15.1  22.68      1  48        0         0
#> 52    10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 175   21.91      1  43        0         0
#> 49    12.19      1  48        1         0
#> 43.1  12.10      1  61        0         1
#> 15.2  22.68      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 30.1  17.43      1  78        0         0
#> 145   10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 14.1  12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 177.1 12.53      1  75        0         0
#> 158.1 20.14      1  74        1         0
#> 194.1 22.40      1  38        0         1
#> 32.2  20.90      1  37        1         0
#> 16.1   8.71      1  71        0         1
#> 194.2 22.40      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 154   12.63      1  20        1         0
#> 24.1  23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 58    19.34      1  39        0         0
#> 169.4 22.41      1  46        0         0
#> 140.2 12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 105.1 19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 111.2 17.45      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 190   20.81      1  42        1         0
#> 36.2  21.19      1  48        0         1
#> 85.1  16.44      1  36        0         0
#> 57.1  14.46      1  45        0         1
#> 123.1 13.00      1  44        1         0
#> 123.2 13.00      1  44        1         0
#> 142   24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 196   24.00      0  19        0         0
#> 109   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 64    24.00      0  43        0         0
#> 185.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 131   24.00      0  66        0         0
#> 118.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 102.2 24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 54.1  24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 80.1  24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 122.1 24.00      0  66        0         0
#> 122.2 24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 198   24.00      0  66        0         1
#> 186.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 148.1 24.00      0  61        1         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 121.1 24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 185.2 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 73.1  24.00      0  NA        0         1
#> 132.1 24.00      0  55        0         0
#> 182   24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 12.1  24.00      0  63        0         0
#> 120.1 24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 132.2 24.00      0  55        0         0
#> 83.2  24.00      0   6        0         0
#> 172.1 24.00      0  41        0         0
#> 142.1 24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 196.1 24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 33.1  24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 83.3  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.727         NA        NA      NA
#> 2 age, Cure model           0.0108        NA        NA      NA
#> 3 grade_ii, Cure model      0.273         NA        NA      NA
#> 4 grade_iii, Cure model     1.37          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00626        NA        NA      NA
#> 2 grade_ii, Survival model   0.928          NA        NA      NA
#> 3 grade_iii, Survival model  0.643          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.72697           0.01076           0.27344           1.36592  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.72696997       0.01075882       0.27343531       1.36591815 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006257022      0.927522982      0.642993903 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84102411 0.64641968 0.63111945 0.77092398 0.90359889 0.28162172
#>   [7] 0.37716353 0.99231499 0.95615195 0.78224633 0.92165146 0.75332183
#>  [13] 0.57344289 0.52638338 0.78224633 0.48371500 0.68991266 0.44355581
#>  [19] 0.13936792 0.79858504 0.82548768 0.88519964 0.52638338 0.93914628
#>  [25] 0.63111945 0.60716195 0.06335354 0.74114431 0.18075783 0.48371500
#>  [31] 0.75935381 0.59102651 0.96859519 0.67599979 0.77092398 0.75935381
#>  [37] 0.21133737 0.72276406 0.91718797 0.56419161 0.47088511 0.48371500
#>  [43] 0.28162172 0.70322239 0.88519964 0.57344289 0.84102411 0.85108813
#>  [49] 0.66133074 0.72276406 0.95615195 0.66867418 0.82019410 0.28162172
#>  [55] 0.87556521 0.67599979 0.85108813 0.68991266 0.99617326 0.28162172
#>  [61] 0.80947734 0.98455168 0.61524612 0.78224633 0.21133737 0.95192121
#>  [67] 0.83583964 0.93050767 0.42660471 0.92610512 0.93050767 0.21133737
#>  [73] 0.93914628 0.74114431 0.96447466 0.97666613 0.81488584 0.97666613
#>  [79] 0.87556521 0.71632837 0.90359889 0.59102651 0.37716353 0.52638338
#>  [85] 0.98455168 0.37716353 0.44355581 0.89901426 0.06335354 0.70978350
#>  [91] 0.64641968 0.28162172 0.88519964 0.91268980 0.61524612 0.94765953
#>  [97] 0.86113116 0.72276406 0.96859519 0.55489200 0.48371500 0.79858504
#> [103] 0.82548768 0.86113116 0.86113116 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    60    55   170   171   177   169   194    70    93   130    56    45   128 
#> 13.15 19.34 19.54 16.57 12.53 22.41 22.40  7.38 10.33 16.47 12.21 17.42 20.35 
#>    32 130.1    99    41   197    78    85    57   140  32.1   159 170.1   166 
#> 20.90 16.47 21.19 18.02 21.60 23.88 16.44 14.46 12.68 20.90 10.55 19.54 19.98 
#>    24    30    92    36   106   158   187    51 171.1 106.1    15   111    42 
#> 23.89 17.43 22.92 21.19 16.67 20.14  9.92 18.23 16.57 16.67 22.68 17.45 12.43 
#>    68   139  36.1 169.1    40 140.1 128.1  60.1   155    97 111.1  93.1     8 
#> 20.62 21.49 21.19 22.41 18.00 12.68 20.35 13.15 13.08 19.14 17.45 10.33 18.43 
#>   133 169.2    14  51.1 155.1  41.1    25 169.3   188    16   105 130.2  15.1 
#> 14.65 22.41 12.89 18.23 13.08 18.02  6.32 22.41 16.16  8.71 19.75 16.47 22.68 
#>    52    81    43   175    49  43.1  15.2 159.1  30.1   145   183   125 183.1 
#> 10.42 14.06 12.10 21.91 12.19 12.10 22.68 10.55 17.43 10.07  9.24 15.65  9.24 
#>  14.1   110 177.1 158.1 194.1  32.2  16.1 194.2 197.1   154  24.1   184    58 
#> 12.89 17.56 12.53 20.14 22.40 20.90  8.71 22.40 21.60 12.63 23.89 17.77 19.34 
#> 169.4 140.2    37 105.1    10   123 111.2 187.1   190  36.2  85.1  57.1 123.1 
#> 22.41 12.68 12.52 19.75 10.53 13.00 17.45  9.92 20.81 21.19 16.44 14.46 13.00 
#> 123.2   142    53   148   118   185   116   196   109   102    64 185.1    19 
#> 13.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 118.1    27 102.1 102.2    80    83    35    17    82   165   120    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   186   152     1   176   121  83.1  54.1   122  80.1   137     2   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163     3   132 122.1 122.2   3.1 137.1    75   147   198 186.1   200 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 148.1   160     7   161   112 121.1    12 185.2   7.1 132.1   182    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1 120.1   156    33 131.1    84    74 132.2  83.2 172.1 142.1   119 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144  33.1   126   138 160.1   135  83.3    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003560704               0.525967272               0.295351249 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88981952              0.01887195              0.08575189 
#>   grade_iii, Cure model 
#>              0.39751566 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 111   17.45      1  47        0         1
#> 140   12.68      1  59        1         0
#> 99    21.19      1  38        0         1
#> 167   15.55      1  56        1         0
#> 58    19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 10    10.53      1  34        0         0
#> 111.1 17.45      1  47        0         1
#> 125   15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 140.1 12.68      1  59        1         0
#> 189   10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 4     17.64      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 86    23.81      1  58        0         1
#> 36    21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 127    3.53      1  62        0         1
#> 125.1 15.65      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 30    17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 158   20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 89.1  11.44      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 13.1  14.34      1  54        0         1
#> 149    8.37      1  33        1         0
#> 133.1 14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 18    15.21      1  49        1         0
#> 133.2 14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 106.1 16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 180   14.82      1  37        0         0
#> 58.2  19.34      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 51    18.23      1  83        0         1
#> 129   23.41      1  53        1         0
#> 77.2   7.27      1  67        0         1
#> 85    16.44      1  36        0         0
#> 90    20.94      1  50        0         1
#> 42    12.43      1  49        0         1
#> 187    9.92      1  39        1         0
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 97.2  19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 8.1   18.43      1  32        0         0
#> 70     7.38      1  30        1         0
#> 155   13.08      1  26        0         0
#> 88    18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 55    19.34      1  69        0         1
#> 89.2  11.44      1  NA        0         0
#> 125.2 15.65      1  67        1         0
#> 125.3 15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 134   17.81      1  47        1         0
#> 164   23.60      1  76        0         1
#> 89.3  11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 4.1   17.64      1  NA        0         1
#> 149.1  8.37      1  33        1         0
#> 18.1  15.21      1  49        1         0
#> 16     8.71      1  71        0         1
#> 187.1  9.92      1  39        1         0
#> 24.1  23.89      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 70.1   7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 133.3 14.65      1  57        0         0
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 18.2  15.21      1  49        1         0
#> 81.1  14.06      1  34        0         0
#> 70.2   7.38      1  30        1         0
#> 128   20.35      1  35        0         1
#> 168   23.72      1  70        0         0
#> 197.1 21.60      1  69        1         0
#> 10.1  10.53      1  34        0         0
#> 93    10.33      1  52        0         1
#> 23.1  16.92      1  61        0         0
#> 85.1  16.44      1  36        0         0
#> 171.1 16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 68    20.62      1  44        0         0
#> 24.2  23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 149.2  8.37      1  33        1         0
#> 140.2 12.68      1  59        1         0
#> 195   11.76      1  NA        1         0
#> 98    24.00      0  34        1         0
#> 38    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 118.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 196.1 24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 185.1 24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 120.1 24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 83.1  24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 156.1 24.00      0  50        1         0
#> 104   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 118.2 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 163.1 24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 178.2 24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 64.1  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 95.1  24.00      0  68        0         1
#> 53.1  24.00      0  32        0         1
#> 132.1 24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 9.1   24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 64.2  24.00      0  43        0         0
#> 191.1 24.00      0  60        0         1
#> 142   24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 33.2  24.00      0  53        0         0
#> 182.1 24.00      0  35        0         0
#> 121.1 24.00      0  57        1         0
#> 3     24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 54    24.00      0  53        1         0
#> 3.1   24.00      0  31        1         0
#> 11.2  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.890         NA        NA      NA
#> 2 age, Cure model           0.0189        NA        NA      NA
#> 3 grade_ii, Cure model      0.0858        NA        NA      NA
#> 4 grade_iii, Cure model     0.398         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00356        NA        NA      NA
#> 2 grade_ii, Survival model   0.526          NA        NA      NA
#> 3 grade_iii, Survival model  0.295          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88982           0.01887           0.08575           0.39752  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88981952       0.01887195       0.08575189       0.39751566 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003560704      0.525967272      0.295351249 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.48542780 0.43635770 0.73929419 0.19051528 0.60013391 0.29096927
#>   [7] 0.10202445 0.82202155 0.43635770 0.56288213 0.22148957 0.73929419
#>  [13] 0.22148957 0.78520136 0.04092307 0.19051528 0.94771244 0.98256656
#>  [19] 0.56288213 0.78520136 0.64638954 0.68320539 0.45581554 0.70181306
#>  [25] 0.27107782 0.98256656 0.87692948 0.68320539 0.89506452 0.64638954
#>  [31] 0.42645694 0.60961366 0.64638954 0.37679491 0.29096927 0.48542780
#>  [37] 0.33798034 0.33798034 0.63708188 0.29096927 0.94771244 0.84962818
#>  [43] 0.40652220 0.08022407 0.94771244 0.53379758 0.21103314 0.77600259
#>  [49] 0.85882217 0.26104970 0.72988132 0.36686510 0.15852799 0.33798034
#>  [55] 0.80357348 0.37679491 0.92158417 0.72047718 0.39650346 0.81280403
#>  [61] 0.55310802 0.29096927 0.56288213 0.56288213 0.28099588 0.52409608
#>  [67] 0.08022407 0.41654100 0.06692601 0.01302416 0.50482153 0.13563107
#>  [73] 0.89506452 0.60961366 0.88599901 0.85882217 0.01302416 0.29096927
#>  [79] 0.92158417 0.97379873 0.46570230 0.11328824 0.64638954 0.14700268
#>  [85] 0.17978346 0.60961366 0.70181306 0.92158417 0.25108177 0.05357061
#>  [91] 0.15852799 0.82202155 0.84039999 0.46570230 0.53379758 0.50482153
#>  [97] 0.76678978 0.24103968 0.01302416 0.12440217 0.89506452 0.73929419
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   106   111   140    99   167    58    69    10 111.1   125    32 140.1  32.1 
#> 16.67 17.45 12.68 21.19 15.55 19.34 23.23 10.53 17.45 15.65 20.90 12.68 20.90 
#>    56    86    36    77   127 125.1  56.1   133    13    30    81   158 127.1 
#> 12.21 23.81 21.19  7.27  3.53 15.65 12.21 14.65 14.34 17.43 14.06 20.14  3.53 
#>   183  13.1   149 133.1   110    18 133.2     8  58.1 106.1    97  97.1   180 
#>  9.24 14.34  8.37 14.65 17.56 15.21 14.65 18.43 19.34 16.67 19.14 19.14 14.82 
#>  58.2  77.1   145    51   129  77.2    85    90    42   187   150    14   179 
#> 19.34  7.27 10.07 18.23 23.41  7.27 16.44 20.94 12.43  9.92 20.33 12.89 18.63 
#>   197  97.2    43   8.1    70   155    88   159   100    55 125.2 125.3   166 
#> 21.60 19.14 12.10 18.43  7.38 13.08 18.37 10.55 16.07 19.34 15.65 15.65 19.98 
#>   181 129.1   134   164    24   171   169 149.1  18.1    16 187.1  24.1  55.1 
#> 16.46 23.41 17.81 23.60 23.89 16.57 22.41  8.37 15.21  8.71  9.92 23.89 19.34 
#>  70.1    91    23    92 133.3    66   139  18.2  81.1  70.2   128   168 197.1 
#>  7.38  5.33 16.92 22.92 14.65 22.13 21.49 15.21 14.06  7.38 20.35 23.72 21.60 
#>  10.1    93  23.1  85.1 171.1   154    68  24.2   113 149.2 140.2    98    38 
#> 10.53 10.33 16.92 16.44 16.57 12.63 20.62 23.89 22.86  8.37 12.68 24.00 24.00 
#>   196     9   191   132   178    35   156   118    62    17    75    80   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    83 118.1    34   120 196.1    95   185   163 178.1   147 185.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1  83.1    27    31   200    11    64     1   160  11.1 156.1   104 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    21 118.2   112 163.1    71   137  31.1 178.2   162    33  64.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   143   138  34.1   102   109     7   173  95.1  53.1 132.1    46   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   9.1  21.1    44   121  17.1  33.1  64.2 191.1   142    22  33.2 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1     3  46.1     2    54   3.1  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01116671                0.71543809                0.25866025 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06251935              0.01822288              0.30803827 
#>   grade_iii, Cure model 
#>              1.05894897 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 180   14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 79    16.23      1  54        1         0
#> 77     7.27      1  67        0         1
#> 86    23.81      1  58        0         1
#> 166   19.98      1  48        0         0
#> 60    13.15      1  38        1         0
#> 49    12.19      1  48        1         0
#> 51    18.23      1  83        0         1
#> 68    20.62      1  44        0         0
#> 192   16.44      1  31        1         0
#> 181   16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 6     15.64      1  39        0         0
#> 108   18.29      1  39        0         1
#> 134   17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 60.1  13.15      1  38        1         0
#> 86.1  23.81      1  58        0         1
#> 192.1 16.44      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 179   18.63      1  42        0         0
#> 89    11.44      1  NA        0         0
#> 5     16.43      1  51        0         1
#> 52    10.42      1  52        0         1
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 113   22.86      1  34        0         0
#> 69    23.23      1  25        0         1
#> 192.2 16.44      1  31        1         0
#> 97    19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 42.1  12.43      1  49        0         1
#> 190   20.81      1  42        1         0
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 60.2  13.15      1  38        1         0
#> 145.1 10.07      1  65        1         0
#> 117.1 17.46      1  26        0         1
#> 145.2 10.07      1  65        1         0
#> 40    18.00      1  28        1         0
#> 66.1  22.13      1  53        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 43    12.10      1  61        0         1
#> 85.1  16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 123   13.00      1  44        1         0
#> 61    10.12      1  36        0         1
#> 158.1 20.14      1  74        1         0
#> 175   21.91      1  43        0         0
#> 197   21.60      1  69        1         0
#> 199   19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 85.2  16.44      1  36        0         0
#> 110.1 17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 125   15.65      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 77.1   7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 6.1   15.64      1  39        0         0
#> 158.2 20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 61.1  10.12      1  36        0         1
#> 43.1  12.10      1  61        0         1
#> 56    12.21      1  60        0         0
#> 158.3 20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 134.1 17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 79.2  16.23      1  54        1         0
#> 136   21.83      1  43        0         1
#> 168   23.72      1  70        0         0
#> 76    19.22      1  54        0         1
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 164.1 23.60      1  76        0         1
#> 180.1 14.82      1  37        0         0
#> 36.1  21.19      1  48        0         1
#> 140   12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 45    17.42      1  54        0         1
#> 149    8.37      1  33        1         0
#> 42.2  12.43      1  49        0         1
#> 194.1 22.40      1  38        0         1
#> 101    9.97      1  10        0         1
#> 129.1 23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 96.1  14.54      1  33        0         1
#> 50.1  10.02      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 74    24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 19    24.00      0  57        0         1
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 62.1  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 48    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 174.1 24.00      0  49        1         0
#> 27.1  24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 34    24.00      0  36        0         0
#> 73.1  24.00      0  NA        0         1
#> 196.1 24.00      0  19        0         0
#> 137   24.00      0  45        1         0
#> 126.1 24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 120.1 24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 156.2 24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 160.1 24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 196.2 24.00      0  19        0         0
#> 102   24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 72    24.00      0  40        0         1
#> 141.1 24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 28.1  24.00      0  67        1         0
#> 156.3 24.00      0  50        1         0
#> 141.2 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 126.2 24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 193.2 24.00      0  45        0         1
#> 94.2  24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 75.1  24.00      0  21        1         0
#> 121.1 24.00      0  57        1         0
#> 160.2 24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 62.2  24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 20    24.00      0  46        1         0
#> 141.3 24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 82.1  24.00      0  34        0         0
#> 126.3 24.00      0  48        0         0
#> 131.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0182        NA        NA      NA
#> 3 grade_ii, Cure model      0.308         NA        NA      NA
#> 4 grade_iii, Cure model     1.06          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0112        NA        NA      NA
#> 2 grade_ii, Survival model    0.715         NA        NA      NA
#> 3 grade_iii, Survival model   0.259         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06252           0.01822           0.30804           1.05895  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 251.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06251935       0.01822288       0.30803827       1.05894897 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01116671       0.71543809       0.25866025 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.425413902 0.617069653 0.157053143 0.334316884 0.503945683 0.967597544
#>   [7] 0.007491311 0.236363447 0.680803807 0.806685506 0.294750985 0.174564454
#>  [13] 0.425413902 0.415043244 0.354162002 0.554725725 0.284760702 0.314902108
#>  [19] 0.245796019 0.881616464 0.680803807 0.007491311 0.425413902 0.174564454
#>  [25] 0.764755359 0.754288309 0.083204951 0.274826937 0.483517548 0.849320530
#>  [31] 0.989191021 0.585953895 0.061613600 0.047736560 0.425413902 0.265025824
#>  [37] 0.534060156 0.764755359 0.165873304 0.035081957 0.021865073 0.924495454
#>  [43] 0.680803807 0.881616464 0.354162002 0.881616464 0.304909082 0.083204951
#>  [49] 0.384197614 0.132389280 0.817297072 0.425413902 0.743809317 0.638092102
#>  [55] 0.201376769 0.068920097 0.394487459 0.712102770 0.860107060 0.201376769
#>  [61] 0.098680539 0.115466439 0.722653049 0.425413902 0.334316884 0.192178817
#>  [67] 0.670036928 0.544389780 0.503945683 0.123958512 0.838571585 0.967597544
#>  [73] 0.001624452 0.606589267 0.554725725 0.201376769 0.132389280 0.575475545
#>  [79] 0.860107060 0.817297072 0.796046435 0.201376769 0.946018808 0.314902108
#>  [85] 0.001624452 0.648774914 0.503945683 0.107007960 0.015871618 0.255358176
#>  [91] 0.404728369 0.054571563 0.021865073 0.617069653 0.132389280 0.733235625
#>  [97] 0.585953895 0.374042135 0.956833403 0.764755359 0.068920097 0.913695166
#> [103] 0.035081957 0.483517548 0.648774914 0.935255137 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    85   180    90   110    79    77    86   166    60    49    51    68   192 
#> 16.44 14.82 20.94 17.56 16.23  7.27 23.81 19.98 13.15 12.19 18.23 20.62 16.44 
#>   181   117     6   108   134    58   145  60.1  86.1 192.1  68.1    42    37 
#> 16.46 17.46 15.64 18.29 17.81 19.34 10.07 13.15 23.81 16.44 20.62 12.43 12.52 
#>    66   179     5    52    25    18   113    69 192.2    97   100  42.1   190 
#> 22.13 18.63 16.43 10.42  6.32 15.21 22.86 23.23 16.44 19.14 16.07 12.43 20.81 
#>   129   164   187  60.2 145.1 117.1 145.2    40  66.1    23    99    43  85.1 
#> 23.41 23.60  9.92 13.15 10.07 17.46 10.07 18.00 22.13 16.92 21.19 12.10 16.44 
#>   154   133   158   194   106   123    61 158.1   175   197    14  85.2 110.1 
#> 12.63 14.65 20.14 22.40 16.67 13.00 10.12 20.14 21.91 21.60 12.89 16.44 17.56 
#>   150    13   125  79.1   153    10  77.1    24   157   6.1 158.2    36    29 
#> 20.33 14.34 15.65 16.23 21.33 10.53  7.27 23.89 15.10 15.64 20.14 21.19 15.45 
#>  61.1  43.1    56 158.3    16 134.1  24.1    96  79.2   136   168    76   130 
#> 10.12 12.10 12.21 20.14  8.71 17.81 23.89 14.54 16.23 21.83 23.72 19.22 16.47 
#>    92 164.1 180.1  36.1   140  18.1    45   149  42.2 194.1   101 129.1   5.1 
#> 22.92 23.60 14.82 21.19 12.68 15.21 17.42  8.37 12.43 22.40  9.97 23.41 16.43 
#>  96.1   183    74     9   172    27   174   148   151    83    62    98    19 
#> 14.54  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   196   126    28  62.1   143  74.1    94    48   120   131   156   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    11   165   173 174.1  27.1    35 156.1    33    82    34 196.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1 137.1 120.1   176 143.1   141  83.1    67    75  94.1 156.2   193 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 196.2   102   121   119    72 141.1   185     3 193.1  28.1 156.3 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    47 142.1 126.2   122   182 193.2  94.2   161  75.1 121.1 160.2   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2   109   191    20 141.3  75.2  82.1 126.3 131.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004639595               0.010062915              -0.017878748 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88527716              0.01912927             -0.22506670 
#>   grade_iii, Cure model 
#>              0.61389293 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 14    12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 85    16.44      1  36        0         0
#> 14.1  12.89      1  21        0         0
#> 117   17.46      1  26        0         1
#> 129   23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 14.2  12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 127.1  3.53      1  62        0         1
#> 127.2  3.53      1  62        0         1
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 68    20.62      1  44        0         0
#> 189   10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 189.1 10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 157   15.10      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 136.1 21.83      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 68.1  20.62      1  44        0         0
#> 170   19.54      1  43        0         1
#> 195.2 11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 14.3  12.89      1  21        0         0
#> 117.1 17.46      1  26        0         1
#> 155.1 13.08      1  26        0         0
#> 106   16.67      1  49        1         0
#> 6     15.64      1  39        0         0
#> 192   16.44      1  31        1         0
#> 190.1 20.81      1  42        1         0
#> 124    9.73      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 5     16.43      1  51        0         1
#> 158   20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 158.1 20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 101    9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 58.1  19.34      1  39        0         0
#> 133   14.65      1  57        0         0
#> 106.1 16.67      1  49        1         0
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 43.1  12.10      1  61        0         1
#> 23    16.92      1  61        0         0
#> 86    23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 158.2 20.14      1  74        1         0
#> 123.1 13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 107   11.18      1  54        1         0
#> 42.1  12.43      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 60    13.15      1  38        1         0
#> 153.1 21.33      1  55        1         0
#> 37.2  12.52      1  57        1         0
#> 169.2 22.41      1  46        0         0
#> 69    23.23      1  25        0         1
#> 76    19.22      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 188.1 16.16      1  46        0         1
#> 93.2  10.33      1  52        0         1
#> 43.2  12.10      1  61        0         1
#> 180.1 14.82      1  37        0         0
#> 26.1  15.77      1  49        0         1
#> 117.2 17.46      1  26        0         1
#> 129.1 23.41      1  53        1         0
#> 128.1 20.35      1  35        0         1
#> 177   12.53      1  75        0         0
#> 99.1  21.19      1  38        0         1
#> 58.2  19.34      1  39        0         0
#> 128.2 20.35      1  35        0         1
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 188.2 16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 79    16.23      1  54        1         0
#> 180.2 14.82      1  37        0         0
#> 147   24.00      0  76        1         0
#> 31    24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 48    24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 147.1 24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 146.1 24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 53.2  24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 173.1 24.00      0  19        0         1
#> 156.1 24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 22.1  24.00      0  52        1         0
#> 9.1   24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 53.3  24.00      0  32        0         1
#> 173.2 24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 160.2 24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 38    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 118.1 24.00      0  44        1         0
#> 131.2 24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 104   24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 173.3 24.00      0  19        0         1
#> 172.1 24.00      0  41        0         0
#> 182.1 24.00      0  35        0         0
#> 172.2 24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 102.1 24.00      0  49        0         0
#> 137.1 24.00      0  45        1         0
#> 72.1  24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.885         NA        NA      NA
#> 2 age, Cure model           0.0191        NA        NA      NA
#> 3 grade_ii, Cure model     -0.225         NA        NA      NA
#> 4 grade_iii, Cure model     0.614         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00464        NA        NA      NA
#> 2 grade_ii, Survival model   0.0101         NA        NA      NA
#> 3 grade_iii, Survival model -0.0179         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88528           0.01913          -0.22507           0.61389  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 248.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88527716       0.01912927      -0.22506670       0.61389293 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004639595      0.010062915     -0.017878748 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.962821889 0.287772347 0.711589498 0.006025203 0.431457996 0.711589498
#>   [7] 0.358500976 0.012060656 0.630594565 0.828703203 0.711589498 0.186184066
#>  [13] 0.574101872 0.962821889 0.962821889 0.240875964 0.474541275 0.143309306
#>  [19] 0.348106761 0.913298981 0.063378477 0.126519723 0.078108076 0.665189948
#>  [25] 0.317560110 0.030227304 0.804817117 0.551474507 0.769481560 0.186184066
#>  [31] 0.562765905 0.307491747 0.506962254 0.030227304 0.876871505 0.063378477
#>  [37] 0.317560110 0.143309306 0.231334331 0.240875964 0.118024877 0.711589498
#>  [43] 0.358500976 0.665189948 0.399682303 0.540228085 0.431457996 0.126519723
#>  [49] 0.876871505 0.769481560 0.452785611 0.204084400 0.688320723 0.048594568
#>  [55] 0.204084400 0.287772347 0.925648670 0.337796746 0.240875964 0.607751404
#>  [61] 0.399682303 0.055897552 0.101814616 0.828703203 0.389124252 0.001589723
#>  [67] 0.160472102 0.204084400 0.688320723 0.938008627 0.086051572 0.864674262
#>  [73] 0.804817117 0.630594565 0.653568601 0.086051572 0.769481560 0.030227304
#>  [79] 0.023383628 0.277925724 0.607751404 0.474541275 0.876871505 0.828703203
#>  [85] 0.574101872 0.506962254 0.358500976 0.012060656 0.160472102 0.757642132
#>  [91] 0.101814616 0.240875964 0.160472102 0.950394221 0.529020290 0.474541275
#>  [97] 0.420734043 0.463636163 0.574101872 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   127    97    14   164    85  14.1   117   129    96    43  14.2   150   180 
#>  3.53 19.14 12.89 23.60 16.44 12.89 17.46 23.41 14.54 12.10 12.89 20.33 14.82 
#> 127.1 127.2    58   188    68   110   145   136   190   139   155    51   169 
#>  3.53  3.53 19.34 16.16 20.62 17.56 10.07 21.83 20.81 21.49 13.08 18.23 22.41 
#>    42    18    37 150.1   157     8    26 169.1    93 136.1  51.1  68.1   170 
#> 12.43 15.21 12.52 20.33 15.10 18.43 15.77 22.41 10.33 21.83 18.23 20.62 19.54 
#>    55    32  14.3 117.1 155.1   106     6   192 190.1  93.1  37.1     5   158 
#> 19.34 20.90 12.89 17.46 13.08 16.67 15.64 16.44 20.81 10.33 12.52 16.43 20.14 
#>   123   194 158.1  97.1   101    40  58.1   133 106.1   175    99  43.1    23 
#> 13.00 22.40 20.14 19.14  9.97 18.00 19.34 14.65 16.67 21.91 21.19 12.10 16.92 
#>    86   128 158.2 123.1   187   153   107  42.1  96.1    60 153.1  37.2 169.2 
#> 23.81 20.35 20.14 13.00  9.92 21.33 11.18 12.43 14.54 13.15 21.33 12.52 22.41 
#>    69    76 133.1 188.1  93.2  43.2 180.1  26.1 117.2 129.1 128.1   177  99.1 
#> 23.23 19.22 14.65 16.16 10.33 12.10 14.82 15.77 17.46 23.41 20.35 12.53 21.19 
#>  58.2 128.2   183   125 188.2   130    79 180.2   147    31   138   152   156 
#> 19.34 20.35  9.24 15.65 16.16 16.47 16.23 14.82 24.00 24.00 24.00 24.00 24.00 
#>   162    83   141 141.1   112    12   135    22   193   143    71   146  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    87    48  53.1    64   118   173 147.1   172    72   103 146.1 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    82    74   185  53.2   151 173.1 156.1   163   176    28   102  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   160 160.1 135.1   120   144  53.3 173.2    95 193.1 160.2     1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17  83.1   132    44    75   109  12.1    27   137   131 119.1    38   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 131.1 118.1 131.2  64.1   182   104  38.1 173.3 172.1 182.1 172.2   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 137.1  72.1   191 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001474762               0.728357890               0.401428607 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05875917              0.01784179              0.07914340 
#>   grade_iii, Cure model 
#>              1.03366049 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 164   23.60      1  76        0         1
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 85    16.44      1  36        0         0
#> 42    12.43      1  49        0         1
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 99.1  21.19      1  38        0         1
#> 171   16.57      1  41        0         1
#> 52    10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 50    10.02      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 127.1  3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 63    22.77      1  31        1         0
#> 26    15.77      1  49        0         1
#> 92    22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 134   17.81      1  47        1         0
#> 127.2  3.53      1  62        0         1
#> 23    16.92      1  61        0         0
#> 81    14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 60    13.15      1  38        1         0
#> 106.1 16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 26.1  15.77      1  49        0         1
#> 92.1  22.92      1  47        0         1
#> 168   23.72      1  70        0         0
#> 155   13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 130   16.47      1  53        0         1
#> 91     5.33      1  61        0         1
#> 68.1  20.62      1  44        0         0
#> 78    23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 136   21.83      1  43        0         1
#> 79    16.23      1  54        1         0
#> 187    9.92      1  39        1         0
#> 59.1  10.16      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 86    23.81      1  58        0         1
#> 37    12.52      1  57        1         0
#> 88.1  18.37      1  47        0         0
#> 105.2 19.75      1  60        0         0
#> 179   18.63      1  42        0         0
#> 51.2  18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 195   11.76      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 60.1  13.15      1  38        1         0
#> 89.2  11.44      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 184.1 17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 91.1   5.33      1  61        0         1
#> 39.1  15.59      1  37        0         1
#> 107.2 11.18      1  54        1         0
#> 69.1  23.23      1  25        0         1
#> 192   16.44      1  31        1         0
#> 130.2 16.47      1  53        0         1
#> 13    14.34      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 99.2  21.19      1  38        0         1
#> 50.1  10.02      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 145   10.07      1  65        1         0
#> 23.1  16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 52.2  10.42      1  52        0         1
#> 4.1   17.64      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 111   17.45      1  47        0         1
#> 52.3  10.42      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 192.1 16.44      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 88.2  18.37      1  47        0         0
#> 49.2  12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 18    15.21      1  49        1         0
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 52.4  10.42      1  52        0         1
#> 91.2   5.33      1  61        0         1
#> 114.2 13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 137   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 9.1   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 165.1 24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 22    24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 148   24.00      0  61        1         0
#> 109   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 148.2 24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 109.1 24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 119.1 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 65    24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 94.1  24.00      0  51        0         1
#> 103.1 24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 148.3 24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 94.2  24.00      0  51        0         1
#> 144.1 24.00      0  28        0         1
#> 71.1  24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 104.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 200.1 24.00      0  64        0         0
#> 7.1   24.00      0  37        1         0
#> 176.1 24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 119.2 24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 156.1 24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 138.2 24.00      0  44        1         0
#> 115.2 24.00      0  NA        1         0
#> 64.1  24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 165.2 24.00      0  47        0         0
#> 137.2 24.00      0  45        1         0
#> 87.1  24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 95.1  24.00      0  68        0         1
#> 191   24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0178        NA        NA      NA
#> 3 grade_ii, Cure model      0.0791        NA        NA      NA
#> 4 grade_iii, Cure model     1.03          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00147        NA        NA      NA
#> 2 grade_ii, Survival model   0.728          NA        NA      NA
#> 3 grade_iii, Survival model  0.401          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05876           0.01784           0.07914           1.03366  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250 
#> Residual Deviance: 237.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05875917       0.01784179       0.07914340       1.03366049 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001474762      0.728357890      0.401428607 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.81901562 0.27973271 0.97840617 0.08166985 0.78605750 0.34276042
#>   [7] 0.51141991 0.63729800 0.80268382 0.44990720 0.10175679 0.41794819
#>  [13] 0.27973271 0.59993887 0.87413318 0.82722961 0.70005841 0.97840617
#>  [19] 0.35366429 0.87413318 0.17718748 0.68240028 0.13320157 0.35366429
#>  [25] 0.85097637 0.85097637 0.49157450 0.97840617 0.56109707 0.75220194
#>  [31] 0.58081890 0.76082623 0.58081890 0.94926412 0.55117824 0.31114501
#>  [37] 0.68240028 0.13320157 0.05982047 0.77761424 0.23217092 0.60951376
#>  [43] 0.95663777 0.31114501 0.01336963 0.53130748 0.44990720 0.38562216
#>  [49] 0.21844586 0.67342221 0.94183446 0.60951376 0.03880132 0.79441001
#>  [55] 0.41794819 0.35366429 0.39647320 0.44990720 0.93434836 0.19119260
#>  [61] 0.23217092 0.49157450 0.76082623 0.25639353 0.51141991 0.82722961
#>  [67] 0.91175474 0.48115308 0.95663777 0.70005841 0.85097637 0.10175679
#>  [73] 0.63729800 0.60951376 0.74358249 0.31114501 0.27973271 0.19119260
#>  [79] 0.91937974 0.56109707 0.73492494 0.87413318 0.39647320 0.54127878
#>  [85] 0.87413318 0.80268382 0.63729800 0.91937974 0.41794819 0.82722961
#>  [91] 0.26829397 0.71753381 0.72622661 0.66433350 0.87413318 0.95663777
#>  [97] 0.16200907 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000
#> 
#> $Time
#>    56    99   127   164   154   166   184    85    42    51    69    88  99.1 
#> 12.21 21.19  3.53 23.60 12.63 19.98 17.77 16.44 12.43 18.23 23.23 18.37 21.19 
#>   171    52    49    39 127.1   105  52.1    63    26    92 105.1   107 107.1 
#> 16.57 10.42 12.19 15.59  3.53 19.75 10.42 22.77 15.77 22.92 19.75 11.18 11.18 
#>   134 127.2    23    81   106    60 106.1    25    30    68  26.1  92.1   168 
#> 17.81  3.53 16.92 14.06 16.67 13.15 16.67  6.32 17.43 20.62 15.77 22.92 23.72 
#>   155   197   130    91  68.1    78   110  51.1    97   136    79   187 130.1 
#> 13.08 21.60 16.47  5.33 20.62 23.88 17.56 18.23 19.14 21.83 16.23  9.92 16.47 
#>    86    37  88.1 105.2   179  51.2   101    15 197.1 134.1  60.1   139 184.1 
#> 23.81 12.52 18.37 19.75 18.63 18.23  9.97 22.68 21.60 17.81 13.15 21.49 17.77 
#>  49.1    61    40  91.1  39.1 107.2  69.1   192 130.2    13  68.2  99.2  15.1 
#> 12.19 10.12 18.00  5.33 15.59 11.18 23.23 16.44 16.47 14.34 20.62 21.19 22.68 
#>   145  23.1    57  52.2 179.1   111  52.3  42.1 192.1 145.1  88.2  49.2   153 
#> 10.07 16.92 14.46 10.42 18.63 17.45 10.42 12.43 16.44 10.07 18.37 12.19 21.33 
#>    18   180     5  52.4  91.2   113   137     9   103    31   161   165   176 
#> 15.21 14.82 16.43 10.42  5.33 22.86 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   118    71    82 165.1   121    20   198    22    21  31.1    62    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   109 137.1    48 148.1   142    75 148.2   119   196    74    12 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   144 119.1   156   186   174   185   104    94    65    11  94.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17    98 148.3 142.1    95    47    35  94.2 144.1  71.1  35.1 161.1 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   182   138   200    28 200.1   7.1 176.1   132 119.2    87 156.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 138.2  64.1   163   122 165.2 137.2  87.1    34    53  95.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01980604                0.61824664                0.54831944 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03696227              0.02169511             -0.08301693 
#>   grade_iii, Cure model 
#>              0.94670953 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 59    10.16      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 184   17.77      1  38        0         0
#> 45    17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 61    10.12      1  36        0         1
#> 79    16.23      1  54        1         0
#> 76    19.22      1  54        0         1
#> 194   22.40      1  38        0         1
#> 60    13.15      1  38        1         0
#> 88    18.37      1  47        0         0
#> 111   17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 6     15.64      1  39        0         0
#> 170   19.54      1  43        0         1
#> 197   21.60      1  69        1         0
#> 189   10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 168.1 23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 88.1  18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 154   12.63      1  20        1         0
#> 133.1 14.65      1  57        0         0
#> 179.1 18.63      1  42        0         0
#> 29    15.45      1  68        1         0
#> 134   17.81      1  47        1         0
#> 169   22.41      1  46        0         0
#> 167   15.55      1  56        1         0
#> 18    15.21      1  49        1         0
#> 133.2 14.65      1  57        0         0
#> 18.1  15.21      1  49        1         0
#> 189.1 10.51      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 92    22.92      1  47        0         1
#> 88.2  18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 101    9.97      1  10        0         1
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 175   21.91      1  43        0         0
#> 187.1  9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 110   17.56      1  65        0         1
#> 61.1  10.12      1  36        0         1
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 66.1  22.13      1  53        0         0
#> 192   16.44      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 93    10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 101.1  9.97      1  10        0         1
#> 99    21.19      1  38        0         1
#> 37    12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 59.1  10.16      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 155   13.08      1  26        0         0
#> 192.1 16.44      1  31        1         0
#> 113   22.86      1  34        0         0
#> 26    15.77      1  49        0         1
#> 168.2 23.72      1  70        0         0
#> 189.2 10.51      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 29.2  15.45      1  68        1         0
#> 85    16.44      1  36        0         0
#> 130.1 16.47      1  53        0         1
#> 129   23.41      1  53        1         0
#> 194.1 22.40      1  38        0         1
#> 189.3 10.51      1  NA        1         0
#> 93.2  10.33      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 81    14.06      1  34        0         0
#> 158   20.14      1  74        1         0
#> 76.1  19.22      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 93.3  10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 37.2  12.52      1  57        1         0
#> 93.4  10.33      1  52        0         1
#> 155.1 13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 101.2  9.97      1  10        0         1
#> 154.1 12.63      1  20        1         0
#> 175.1 21.91      1  43        0         0
#> 153   21.33      1  55        1         0
#> 114.1 13.68      1  NA        0         0
#> 41    18.02      1  40        1         0
#> 51.1  18.23      1  83        0         1
#> 159.1 10.55      1  50        0         1
#> 155.2 13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 128   20.35      1  35        0         1
#> 189.4 10.51      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 72    24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 9     24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 138   24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 48.1  24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 20.2  24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 98    24.00      0  34        1         0
#> 21.1  24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 138.1 24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 31.1  24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 21.2  24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 148.2 24.00      0  61        1         0
#> 185   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 3.1   24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 176.1 24.00      0  43        0         1
#> 103.2 24.00      0  56        1         0
#> 173   24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 12.2  24.00      0  63        0         0
#> 74.1  24.00      0  43        0         1
#> 73.2  24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 35.2  24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 7.2   24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 163.1 24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 44.1  24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 31.2  24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 182.1 24.00      0  35        0         0
#> 185.1 24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 64.1  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.04          NA        NA      NA
#> 2 age, Cure model           0.0217        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0830        NA        NA      NA
#> 4 grade_iii, Cure model     0.947         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0198        NA        NA      NA
#> 2 grade_ii, Survival model    0.618         NA        NA      NA
#> 3 grade_iii, Survival model   0.548         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03696           0.02170          -0.08302           0.94671  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 245.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03696227       0.02169511      -0.08301693       0.94670953 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01980604       0.61824664       0.54831944 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.144537e-01 3.658813e-01 9.529041e-01 1.934067e-01 2.209558e-01
#>   [6] 5.272583e-01 8.451140e-01 3.001176e-01 1.013348e-01 1.584451e-02
#>  [11] 5.545975e-01 1.284815e-01 2.116153e-01 9.220936e-01 3.544286e-01
#>  [16] 9.489933e-02 4.073845e-02 9.842209e-01 2.356497e-05 2.356497e-05
#>  [21] 7.096497e-01 1.284815e-01 4.616010e-01 6.242440e-01 4.616010e-01
#>  [26] 1.144537e-01 3.890463e-01 1.846255e-01 1.291650e-02 3.773949e-01
#>  [31] 4.245675e-01 4.616010e-01 4.245675e-01 8.103855e-03 2.630262e-03
#>  [36] 1.284815e-01 3.212701e-01 6.521323e-01 8.764820e-01 2.152786e-02
#>  [41] 2.839381e-02 9.220936e-01 7.391697e-01 2.024040e-01 8.451140e-01
#>  [46] 2.304596e-01 1.511254e-01 2.152786e-02 2.600449e-01 7.391697e-01
#>  [51] 7.692790e-01 1.591704e-01 2.402463e-01 8.764820e-01 6.038454e-02
#>  [56] 6.664684e-01 6.099804e-01 3.106391e-01 5.000037e-02 3.890463e-01
#>  [61] 5.683948e-01 2.600449e-01 4.252433e-03 3.431715e-01 2.356497e-05
#>  [66] 4.252433e-03 7.692790e-01 3.212701e-01 3.890463e-01 2.600449e-01
#>  [71] 2.402463e-01 1.287265e-03 1.584451e-02 7.692790e-01 6.664684e-01
#>  [76] 5.408433e-01 8.251836e-02 1.013348e-01 4.073845e-02 9.685656e-01
#>  [81] 6.038454e-02 1.033875e-02 7.692790e-01 4.490022e-01 5.138140e-01
#>  [86] 3.637020e-02 2.897285e-01 6.664684e-01 7.692790e-01 5.683948e-01
#>  [91] 7.094975e-02 8.764820e-01 6.242440e-01 2.839381e-02 5.510047e-02
#>  [96] 1.759551e-01 1.591704e-01 7.096497e-01 5.683948e-01 5.004712e-01
#> [101] 7.670455e-02 8.857615e-02 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   179    39   183   184    45    13    61    79    76   194    60    88   111 
#> 18.63 15.59  9.24 17.77 17.42 14.34 10.12 16.23 19.22 22.40 13.15 18.37 17.45 
#>   187     6   170   197   127   168 168.1   159  88.1   133   154 133.1 179.1 
#>  9.92 15.64 19.54 21.60  3.53 23.72 23.72 10.55 18.37 14.65 12.63 14.65 18.63 
#>    29   134   169   167    18 133.2  18.1    63    92  88.2   100   177   101 
#> 15.45 17.81 22.41 15.55 15.21 14.65 15.21 22.77 22.92 18.37 16.07 12.53  9.97 
#>    66   175 187.1    10   110  61.1    23   108  66.1   192  10.1    93    51 
#> 22.13 21.91  9.92 10.53 17.56 10.12 16.92 18.29 22.13 16.44 10.53 10.33 18.23 
#>   130 101.1    99    37   123   188   139  29.1   155 192.1   113    26 168.2 
#> 16.47  9.97 21.19 12.52 13.00 16.16 21.49 15.45 13.08 16.44 22.86 15.77 23.72 
#> 113.1  93.1 100.1  29.2    85 130.1   129 194.1  93.2  37.1    81   158  76.1 
#> 22.86 10.33 16.07 15.45 16.44 16.47 23.41 22.40 10.33 12.52 14.06 20.14 19.22 
#> 197.1    70    36    15  93.3   157    57   136     5  37.2  93.4 155.1    68 
#> 21.60  7.38 21.19 22.68 10.33 15.10 14.46 21.83 16.43 12.52 10.33 13.08 20.62 
#> 101.2 154.1 175.1   153    41  51.1 159.1 155.2    96   128   166    72    74 
#>  9.97 12.63 21.91 21.33 18.02 18.23 10.55 13.08 14.54 20.35 19.98 24.00 24.00 
#>    20   156  20.1     9    38    48    12  12.1   138  72.1    75   191   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   178    83   103   152    21   165 165.1   119    46    31    67  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   176   143   137   163    44    82    71   120    19    98  21.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 138.1  75.1   112     7   148  31.1    65   7.1  21.2 148.1    87 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    62   151    35   9.1   3.1  35.1 176.1 103.2   173     2  12.2  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    47   142  98.1  35.2    64   7.2   182 163.1    53  44.1   196  31.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1 182.1 185.1  75.2  64.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009198519               0.311090196               0.172129053 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.63852430              0.01278549             -0.33761059 
#>   grade_iii, Cure model 
#>              1.09078195 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 40    18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 23    16.92      1  61        0         0
#> 68    20.62      1  44        0         0
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 51    18.23      1  83        0         1
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 100   16.07      1  60        0         0
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 51.1  18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 57.1  14.46      1  45        0         1
#> 26.1  15.77      1  49        0         1
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 194   22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 41    18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 125   15.65      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 81.1  14.06      1  34        0         0
#> 32    20.90      1  37        1         0
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 155.1 13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 36    21.19      1  48        0         1
#> 36.1  21.19      1  48        0         1
#> 124    9.73      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 105.1 19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 14    12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 16.2   8.71      1  71        0         1
#> 59    10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 91     5.33      1  61        0         1
#> 164   23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 117.1 17.46      1  26        0         1
#> 99    21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 23.1  16.92      1  61        0         0
#> 86.1  23.81      1  58        0         1
#> 91.1   5.33      1  61        0         1
#> 164.1 23.60      1  76        0         1
#> 91.2   5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 97.1  19.14      1  65        0         1
#> 40.1  18.00      1  28        1         0
#> 106.1 16.67      1  49        1         0
#> 86.2  23.81      1  58        0         1
#> 88    18.37      1  47        0         0
#> 23.2  16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 168.1 23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 25     6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 81.2  14.06      1  34        0         0
#> 57.2  14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 79.1  16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 50.1  10.02      1  NA        1         0
#> 105.2 19.75      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 158   20.14      1  74        1         0
#> 166   19.98      1  48        0         0
#> 86.3  23.81      1  58        0         1
#> 93.2  10.33      1  52        0         1
#> 96.1  14.54      1  33        0         1
#> 59.1  10.16      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 5.1   16.43      1  51        0         1
#> 105.3 19.75      1  60        0         0
#> 81.3  14.06      1  34        0         0
#> 149    8.37      1  33        1         0
#> 157.1 15.10      1  47        0         0
#> 26.2  15.77      1  49        0         1
#> 106.2 16.67      1  49        1         0
#> 39.1  15.59      1  37        0         1
#> 26.3  15.77      1  49        0         1
#> 82    24.00      0  34        0         0
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 20    24.00      0  46        1         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 38    24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 119.1 24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 94.1  24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 65.1  24.00      0  57        1         0
#> 173.1 24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 121   24.00      0  57        1         0
#> 53.1  24.00      0  32        0         1
#> 20.1  24.00      0  46        1         0
#> 27.1  24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 46.1  24.00      0  71        0         0
#> 65.2  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 87.1  24.00      0  27        0         0
#> 142   24.00      0  53        0         0
#> 200.1 24.00      0  64        0         0
#> 193.1 24.00      0  45        0         1
#> 9     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 20.2  24.00      0  46        1         0
#> 137.2 24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 160.1 24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 71.1  24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 152   24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 35    24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 121.2 24.00      0  57        1         0
#> 83.2  24.00      0   6        0         0
#> 147   24.00      0  76        1         0
#> 94.2  24.00      0  51        0         1
#> 20.3  24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 182.1 24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.639         NA        NA      NA
#> 2 age, Cure model           0.0128        NA        NA      NA
#> 3 grade_ii, Cure model     -0.338         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00920        NA        NA      NA
#> 2 grade_ii, Survival model   0.311          NA        NA      NA
#> 3 grade_iii, Survival model  0.172          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.63852           0.01279          -0.33761           1.09078  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.5 
#> Residual Deviance: 250.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.63852430       0.01278549      -0.33761059       1.09078195 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009198519      0.311090196      0.172129053 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.329042130 0.637951848 0.891519117 0.891519117 0.488130977 0.738839903
#>   [7] 0.263986375 0.184356646 0.338615718 0.116259743 0.227381514 0.879586675
#>  [13] 0.236385342 0.300958112 0.820476012 0.467382996 0.022044534 0.605192291
#>  [19] 0.050549923 0.236385342 0.426810183 0.605192291 0.488130977 0.561720637
#>  [25] 0.062893628 0.002057623 0.075977466 0.069385223 0.153239503 0.050549923
#>  [31] 0.282240386 0.540324717 0.254660057 0.367557544 0.044050718 0.008499197
#>  [37] 0.529585264 0.467382996 0.693369486 0.637951848 0.102244055 0.682057938
#>  [43] 0.773586108 0.693369486 0.406844855 0.082707460 0.082707460 0.406844855
#>  [49] 0.153239503 0.319545146 0.715963629 0.201148499 0.583406558 0.891519117
#>  [55] 0.761975186 0.963703007 0.032272316 0.123428199 0.300958112 0.082707460
#>  [61] 0.123428199 0.338615718 0.008499197 0.963703007 0.032272316 0.963703007
#>  [67] 0.291554931 0.184356646 0.263986375 0.367557544 0.008499197 0.209846282
#>  [73] 0.338615718 0.750385864 0.447018539 0.727383171 0.022044534 0.808690163
#>  [79] 0.951597713 0.867661764 0.637951848 0.605192291 0.939492676 0.396800510
#>  [85] 0.109235533 0.447018539 0.855723163 0.796950267 0.785253464 0.820476012
#>  [91] 0.153239503 0.209846282 0.137933913 0.145514854 0.008499197 0.820476012
#>  [97] 0.583406558 0.002057623 0.426810183 0.153239503 0.637951848 0.927382062
#> [103] 0.561720637 0.488130977 0.367557544 0.540324717 0.488130977 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    45    81    16  16.1    26   177    40    97    23    68   108   187    51 
#> 17.42 14.06  8.71  8.71 15.77 12.53 18.00 19.14 16.92 20.62 18.29  9.92 18.23 
#>   117    93   100   168    57    69  51.1     5  57.1  26.1   157    63    24 
#> 17.46 10.33 16.07 23.72 14.46 23.23 18.23 16.43 14.46 15.77 15.10 22.77 23.89 
#>   139   194   105  69.1   134    39    41   106   129    86   125 100.1   155 
#> 21.49 22.40 19.75 23.23 17.81 15.59 18.02 16.67 23.41 23.81 15.65 16.07 13.08 
#>  81.1    32    60    43 155.1    85    36  36.1   192 105.1   111    14   179 
#> 14.06 20.90 13.15 12.10 13.08 16.44 21.19 21.19 16.44 19.75 17.45 12.89 18.63 
#>    96  16.2    49    91   164   150 117.1    99 150.1  23.1  86.1  91.1 164.1 
#> 14.54  8.71 12.19  5.33 23.60 20.33 17.46 21.19 20.33 16.92 23.81  5.33 23.60 
#>  91.2   184  97.1  40.1 106.1  86.2    88  23.2    42    79   140 168.1    10 
#>  5.33 17.77 19.14 18.00 16.67 23.81 18.37 16.92 12.43 16.23 12.68 23.72 10.53 
#>    25   101  81.2  57.2    70   171   190  79.1    61   159   107  93.1 105.2 
#>  6.32  9.97 14.06 14.46  7.38 16.57 20.81 16.23 10.12 10.55 11.18 10.33 19.75 
#>  88.1   158   166  86.3  93.2  96.1  24.1   5.1 105.3  81.3   149 157.1  26.2 
#> 18.37 20.14 19.98 23.81 10.33 14.54 23.89 16.43 19.75 14.06  8.37 15.10 15.77 
#> 106.2  39.1  26.3    82   137     7    20    84   102    67   200    71    27 
#> 16.67 15.59 15.77 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    46    98   173   119    65   162   138    34  34.1    94   178   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    38 137.1    83 119.1    47  82.1    28  94.1   182   174    87  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1    53   121  53.1  20.1  27.1   176    22   193   186   163   109  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2   118  98.1  83.1  87.1   142 200.1 193.1     9   144   160   131    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  20.2 137.2   146    33   198    21 160.1    44  21.1   132    54  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1   152   103    35 121.1 121.2  83.2   147  94.2  20.3   148 182.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01587667                0.74536263                0.32393085 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.511488943             0.007000945             0.166976163 
#>   grade_iii, Cure model 
#>             0.819345224 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 66    22.13      1  53        0         0
#> 192   16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 157   15.10      1  47        0         0
#> 89.1  11.44      1  NA        0         0
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 91     5.33      1  61        0         1
#> 68    20.62      1  44        0         0
#> 145   10.07      1  65        1         0
#> 136   21.83      1  43        0         1
#> 169.1 22.41      1  46        0         0
#> 4     17.64      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 155   13.08      1  26        0         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 42.1  12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 123   13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 18    15.21      1  49        1         0
#> 41    18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 101.1  9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 15.1  22.68      1  48        0         0
#> 51    18.23      1  83        0         1
#> 39    15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 170   19.54      1  43        0         1
#> 13    14.34      1  54        0         1
#> 43    12.10      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 139.1 21.49      1  63        1         0
#> 114.1 13.68      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 59.1  10.16      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 106   16.67      1  49        1         0
#> 59.2  10.16      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 133.1 14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 180.1 14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 177.1 12.53      1  75        0         0
#> 128.1 20.35      1  35        0         1
#> 41.1  18.02      1  40        1         0
#> 170.1 19.54      1  43        0         1
#> 114.2 13.68      1  NA        0         0
#> 41.2  18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 171.2 16.57      1  41        0         1
#> 6     15.64      1  39        0         0
#> 77     7.27      1  67        0         1
#> 166   19.98      1  48        0         0
#> 192.1 16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 167   15.55      1  56        1         0
#> 70.2   7.38      1  30        1         0
#> 32    20.90      1  37        1         0
#> 60    13.15      1  38        1         0
#> 51.1  18.23      1  83        0         1
#> 170.2 19.54      1  43        0         1
#> 133.2 14.65      1  57        0         0
#> 86.1  23.81      1  58        0         1
#> 153   21.33      1  55        1         0
#> 124.1  9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 194   22.40      1  38        0         1
#> 42.2  12.43      1  49        0         1
#> 145.1 10.07      1  65        1         0
#> 25.1   6.32      1  34        1         0
#> 187    9.92      1  39        1         0
#> 154.1 12.63      1  20        1         0
#> 51.2  18.23      1  83        0         1
#> 51.3  18.23      1  83        0         1
#> 150.1 20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 173   24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 185.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 67.1  24.00      0  25        0         0
#> 102   24.00      0  49        0         0
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 193.1 24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 54.1  24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 44.1  24.00      0  56        0         0
#> 122   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 172   24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 137.1 24.00      0  45        1         0
#> 38.1  24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 38.2  24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 137.2 24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 143.1 24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 20.1  24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 146.2 24.00      0  63        1         0
#> 200.1 24.00      0  64        0         0
#> 120.1 24.00      0  68        0         1
#> 98.1  24.00      0  34        1         0
#> 198   24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 156.1 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 173.1 24.00      0  19        0         1
#> 173.2 24.00      0  19        0         1
#> 102.1 24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 82.1  24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.511          NA        NA      NA
#> 2 age, Cure model          0.00700        NA        NA      NA
#> 3 grade_ii, Cure model     0.167          NA        NA      NA
#> 4 grade_iii, Cure model    0.819          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0159        NA        NA      NA
#> 2 grade_ii, Survival model    0.745         NA        NA      NA
#> 3 grade_iii, Survival model   0.324         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.511489          0.007001          0.166976          0.819345  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.511488943      0.007000945      0.166976163      0.819345224 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01587667       0.74536263       0.32393085 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9589571960 0.0396192131 0.0142927998 0.8354158444 0.2639848291
#>   [6] 0.3059785977 0.0279874944 0.3488774355 0.1056159770 0.9046363668
#>  [11] 0.4844563237 0.2846531354 0.4608960869 0.9861946888 0.0913943693
#>  [16] 0.8077376047 0.0336510727 0.0142927998 0.5204906698 0.0913943693
#>  [21] 0.7666538163 0.7000424050 0.6222567082 0.4963938623 0.5704920189
#>  [26] 0.8767693294 0.2440511546 0.0577888972 0.1690168227 0.7000424050
#>  [31] 0.0016247107 0.6353871063 0.0077613683 0.3488774355 0.4726714904
#>  [36] 0.2156008764 0.4145421258 0.2539293770 0.2742384803 0.0002641659
#>  [41] 0.8354158444 0.6739306147 0.0077613683 0.1779702331 0.4375556339
#>  [46] 0.7396439143 0.1442226858 0.5833400633 0.7530913348 0.3059785977
#>  [51] 0.5577368519 0.0396192131 0.8907298573 0.1202475774 0.3920357876
#>  [56] 0.6485045299 0.2953096731 0.9046363668 0.5204906698 0.7938971171
#>  [61] 0.0016247107 0.4963938623 0.0050641685 0.5833400633 0.6739306147
#>  [66] 0.1056159770 0.2156008764 0.1442226858 0.2156008764 0.3809841252
#>  [71] 0.3059785977 0.4259771355 0.9451502363 0.1358957971 0.3488774355
#>  [76] 0.4031924967 0.7666538163 0.0845435749 0.4492055577 0.9046363668
#>  [81] 0.0776474543 0.6092193573 0.1779702331 0.1442226858 0.5204906698
#>  [86] 0.0002641659 0.0514136764 0.3377802504 0.0706454319 0.0229098513
#>  [91] 0.7000424050 0.8077376047 0.9589571960 0.8629304724 0.6485045299
#>  [96] 0.1779702331 0.1779702331 0.1202475774 0.0577888972 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    25   139   169   101   110   171    66   192   128    70   157    23    29 
#>  6.32 21.49 22.41  9.97 17.56 16.57 22.13 16.44 20.35  7.38 15.10 16.92 15.45 
#>    91    68   145   136 169.1   133  68.1   159    42   155   180    57    16 
#>  5.33 20.62 10.07 21.83 22.41 14.65 20.62 10.55 12.43 13.08 14.82 14.46  8.71 
#>   134    99    55  42.1   168   123    15    85    18    41   125   184    45 
#> 17.81 21.19 19.34 12.43 23.72 13.00 22.68 16.44 15.21 18.02 15.65 17.77 17.42 
#>    86 101.1   177  15.1    51    39    49   170    13    43 171.1    96 139.1 
#> 23.81  9.97 12.53 22.68 18.23 15.59 12.19 19.54 14.34 12.10 16.57 14.54 21.49 
#>   149   150   188   154   106  70.1 133.1    10 168.1 180.1   113  13.1 177.1 
#>  8.37 20.33 16.16 12.63 16.67  7.38 14.65 10.53 23.72 14.82 22.86 14.34 12.53 
#> 128.1  41.1 170.1  41.2    79 171.2     6    77   166 192.1   100 159.1   190 
#> 20.35 18.02 19.54 18.02 16.23 16.57 15.64  7.27 19.98 16.44 16.07 10.55 20.81 
#>   167  70.2    32    60  51.1 170.2 133.2  86.1   153   130    90   194  42.2 
#> 15.55  7.38 20.90 13.15 18.23 19.54 14.65 23.81 21.33 16.47 20.94 22.40 12.43 
#> 145.1  25.1   187 154.1  51.2  51.3 150.1    36   173    54   118   152   191 
#> 10.07  6.32  9.92 12.63 18.23 18.23 20.33 21.19 24.00 24.00 24.00 24.00 24.00 
#>   132    67    71    20    38    62   185   193 185.1    82   143    11   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176  67.1   102   120   109 193.1    21  54.1    27    53   141    31   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    44    19    64  44.1   122    12   172   137   104 137.1  38.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.2    72    33    75   160  31.1   131   196 137.2   151 143.1   165  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    17  20.1   146     9    98    47 146.1 122.1 146.2 200.1 120.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    80    94 156.1     3  62.1    48 131.1   142 173.1 173.2 102.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   161  82.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01763506                0.87472099                0.80248382 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.139952023             0.007015773            -0.392636763 
#>   grade_iii, Cure model 
#>             0.412303108 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 170   19.54      1  43        0         1
#> 123   13.00      1  44        1         0
#> 189   10.51      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 127    3.53      1  62        0         1
#> 106   16.67      1  49        1         0
#> 70     7.38      1  30        1         0
#> 14    12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 167   15.55      1  56        1         0
#> 91     5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 154   12.63      1  20        1         0
#> 153   21.33      1  55        1         0
#> 88    18.37      1  47        0         0
#> 170.1 19.54      1  43        0         1
#> 171   16.57      1  41        0         1
#> 117   17.46      1  26        0         1
#> 90    20.94      1  50        0         1
#> 24    23.89      1  38        0         0
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 136   21.83      1  43        0         1
#> 5.1   16.43      1  51        0         1
#> 100   16.07      1  60        0         0
#> 134   17.81      1  47        1         0
#> 51    18.23      1  83        0         1
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 70.1   7.38      1  30        1         0
#> 183    9.24      1  67        1         0
#> 96    14.54      1  33        0         1
#> 154.1 12.63      1  20        1         0
#> 153.1 21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 140   12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 100.1 16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 8     18.43      1  32        0         0
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 42    12.43      1  49        0         1
#> 85.1  16.44      1  36        0         0
#> 113.2 22.86      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 55.1  19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 88.2  18.37      1  47        0         0
#> 81    14.06      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 117.1 17.46      1  26        0         1
#> 51.1  18.23      1  83        0         1
#> 66    22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 93    10.33      1  52        0         1
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 15    22.68      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 133   14.65      1  57        0         0
#> 70.2   7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 197.1 21.60      1  69        1         0
#> 192   16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 99.1  21.19      1  38        0         1
#> 6     15.64      1  39        0         0
#> 8.2   18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 39.1  15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 180.1 14.82      1  37        0         0
#> 14.2  12.89      1  21        0         0
#> 180.2 14.82      1  37        0         0
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 91.1   5.33      1  61        0         1
#> 129.1 23.41      1  53        1         0
#> 127.1  3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 197.2 21.60      1  69        1         0
#> 189.1 10.51      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 150.1 20.33      1  48        0         0
#> 68    20.62      1  44        0         0
#> 113.3 22.86      1  34        0         0
#> 130   16.47      1  53        0         1
#> 105.1 19.75      1  60        0         0
#> 181   16.46      1  45        0         1
#> 167.1 15.55      1  56        1         0
#> 140.1 12.68      1  59        1         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 186   24.00      0  45        1         0
#> 119.1 24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 112.1 24.00      0  61        0         0
#> 12.1  24.00      0  63        0         0
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 65.2  24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 104.1 24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 1     24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 104.2 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 104.3 24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 31    24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 138.1 24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 104.4 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 19.1  24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 200.1 24.00      0  64        0         0
#> 176.2 24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 87.2  24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 65.3  24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 132.2 24.00      0  55        0         0
#> 54.1  24.00      0  53        1         0
#> 11.1  24.00      0  42        0         1
#> 122   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 62.1  24.00      0  71        0         0
#> 121.1 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.140          NA        NA      NA
#> 2 age, Cure model          0.00702        NA        NA      NA
#> 3 grade_ii, Cure model    -0.393          NA        NA      NA
#> 4 grade_iii, Cure model    0.412          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0176        NA        NA      NA
#> 2 grade_ii, Survival model    0.875         NA        NA      NA
#> 3 grade_iii, Survival model   0.802         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.139952          0.007016         -0.392637          0.412303  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 260.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.139952023      0.007015773     -0.392636763      0.412303108 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01763506       0.87472099       0.80248382 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8456784137 0.9287386931 0.5861703678 0.1733747396 0.6913065751
#>   [6] 0.0433691386 0.9761671604 0.3778520343 0.8936501244 0.7032001977
#>  [11] 0.4524526978 0.0125947121 0.5635956448 0.9524803082 0.8100604533
#>  [16] 0.1903574253 0.6793916758 0.0201623782 0.7628998689 0.0835736009
#>  [21] 0.2725445100 0.1733747396 0.3885598548 0.3567335910 0.1180664103
#>  [26] 0.0003412879 0.5071166781 0.0024096153 0.0201623782 0.6675531372
#>  [31] 0.0566007919 0.4524526978 0.4848959493 0.3349190570 0.3135905727
#>  [36] 0.8815994903 0.5975661941 0.8936501244 0.8696082129 0.6438767551
#>  [41] 0.7628998689 0.0835736009 0.1563179988 0.2725445100 0.7388313821
#>  [46] 0.0003412879 0.4848959493 0.4739856251 0.2438143138 0.4206789106
#>  [51] 0.1327174034 0.7864590062 0.4206789106 0.0201623782 0.8100604533
#>  [56] 0.1903574253 0.0978193642 0.2725445100 0.6556667506 0.2438143138
#>  [61] 0.3567335910 0.3135905727 0.0497178366 0.7032001977 0.8337365980
#>  [66] 0.1481432979 0.0634472161 0.9406332216 0.0374986089 0.7864590062
#>  [71] 0.6320332592 0.8936501244 0.5411171066 0.0634472161 0.4206789106
#>  [76] 0.0047106464 0.0978193642 0.5296810078 0.2438143138 0.2250576495
#>  [81] 0.5411171066 0.5183663990 0.2343377938 0.3457423005 0.5975661941
#>  [86] 0.7032001977 0.5975661941 0.0082545242 0.0978193642 0.9524803082
#>  [91] 0.0125947121 0.9761671604 0.3030903856 0.8576604684 0.1903574253
#>  [96] 0.0634472161 0.1903574253 0.1327174034 0.1252763091 0.0201623782
#> [101] 0.3992433512 0.1563179988 0.4099623761 0.5635956448 0.7388313821
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   145    77    18   170   123   169   127   106    70    14     5   129   167 
#> 10.07  7.27 15.21 19.54 13.00 22.41  3.53 16.67  7.38 12.89 16.43 23.41 15.55 
#>    91    52    55   155   113   154   153    88 170.1   171   117    90    24 
#>  5.33 10.42 19.34 13.08 22.86 12.63 21.33 18.37 19.54 16.57 17.46 20.94 23.89 
#>    26    78 113.1    60   136   5.1   100   134    51    16   180  70.1   183 
#> 15.77 23.88 22.86 13.15 21.83 16.43 16.07 17.81 18.23  8.71 14.82  7.38  9.24 
#>    96 154.1 153.1   105  88.1   140  24.1 100.1    79     8    85   150    42 
#> 14.54 12.63 21.33 19.75 18.37 12.68 23.89 16.07 16.23 18.43 16.44 20.33 12.43 
#>  85.1 113.2  52.1  55.1    99  88.2    81   8.1 117.1  51.1    66  14.1    93 
#> 16.44 22.86 10.42 19.34 21.19 18.37 14.06 18.43 17.46 18.23 22.13 12.89 10.33 
#>   166   197    25    15  42.1   133  70.2    39 197.1   192   168  99.1     6 
#> 19.98 21.60  6.32 22.68 12.43 14.65  7.38 15.59 21.60 16.44 23.72 21.19 15.64 
#>   8.2    76  39.1   125   179   184 180.1  14.2 180.2   164    36  91.1 129.1 
#> 18.43 19.22 15.59 15.65 18.63 17.77 14.82 12.89 14.82 23.60 21.19  5.33 23.41 
#> 127.1   108   187    58 197.2  55.2 150.1    68 113.3   130 105.1   181 167.1 
#>  3.53 18.29  9.92 19.34 21.60 19.34 20.33 20.62 22.86 16.47 19.75 16.46 15.55 
#> 140.1   162    19    53    62   119   148     7   132   137   112    65  65.1 
#> 12.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35    12   186 119.1    87     2 112.1  12.1    54   200  65.2   147    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   104   103 104.1  53.1     1    33   152   176    27   138 104.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    38  33.1 104.3     9 152.1   182    84    22    80    98  98.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1    44   131   120 132.1 138.1  87.1    20 104.4 176.1  27.1    34  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   185 120.1    48   144  19.1    11 200.1 176.2 162.1  48.1  87.2    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.3   196    83 132.2  54.1  11.1   122    47   143  62.1 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003551843               0.408664005              -0.251621659 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.550225302             0.009836803             0.154515846 
#>   grade_iii, Cure model 
#>             0.747454418 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 171   16.57      1  41        0         1
#> 57    14.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 58    19.34      1  39        0         0
#> 85    16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 197   21.60      1  69        1         0
#> 77     7.27      1  67        0         1
#> 85.1  16.44      1  36        0         0
#> 136   21.83      1  43        0         1
#> 78    23.88      1  43        0         0
#> 157   15.10      1  47        0         0
#> 133   14.65      1  57        0         0
#> 29    15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 78.1  23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 192   16.44      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 177   12.53      1  75        0         0
#> 96    14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 56    12.21      1  60        0         0
#> 136.1 21.83      1  43        0         1
#> 23    16.92      1  61        0         0
#> 30    17.43      1  78        0         0
#> 179   18.63      1  42        0         0
#> 66    22.13      1  53        0         0
#> 8.1   18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 37.2  12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 55    19.34      1  69        0         1
#> 66.1  22.13      1  53        0         0
#> 61    10.12      1  36        0         1
#> 189   10.51      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 125   15.65      1  67        1         0
#> 153   21.33      1  55        1         0
#> 29.1  15.45      1  68        1         0
#> 189.1 10.51      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 39.1  15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 5     16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 157.2 15.10      1  47        0         0
#> 170   19.54      1  43        0         1
#> 69    23.23      1  25        0         1
#> 139   21.49      1  63        1         0
#> 42    12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 183    9.24      1  67        1         0
#> 60.1  13.15      1  38        1         0
#> 42.1  12.43      1  49        0         1
#> 154   12.63      1  20        1         0
#> 159   10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 183.1  9.24      1  67        1         0
#> 113.1 22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 69.1  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 133.1 14.65      1  57        0         0
#> 154.1 12.63      1  20        1         0
#> 164.1 23.60      1  76        0         1
#> 86    23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 99.1  21.19      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 90    20.94      1  50        0         1
#> 77.1   7.27      1  67        0         1
#> 133.2 14.65      1  57        0         0
#> 184   17.77      1  38        0         0
#> 180   14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 29.2  15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 164.2 23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 136.2 21.83      1  43        0         1
#> 164.3 23.60      1  76        0         1
#> 88    18.37      1  47        0         0
#> 139.2 21.49      1  63        1         0
#> 180.1 14.82      1  37        0         0
#> 139.3 21.49      1  63        1         0
#> 197.1 21.60      1  69        1         0
#> 37.3  12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 164.4 23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 86.1  23.81      1  58        0         1
#> 177.1 12.53      1  75        0         0
#> 195   11.76      1  NA        1         0
#> 37.4  12.52      1  57        1         0
#> 69.2  23.23      1  25        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 191   24.00      0  60        0         1
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 3.1   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 3.2   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 163.1 24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 102.1 24.00      0  49        0         0
#> 162   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 131   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 64    24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 72.1  24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 151.1 24.00      0  42        0         0
#> 173   24.00      0  19        0         1
#> 12.1  24.00      0  63        0         0
#> 191.2 24.00      0  60        0         1
#> 72.2  24.00      0  40        0         1
#> 33.1  24.00      0  53        0         0
#> 126.1 24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 54    24.00      0  53        1         0
#> 84.1  24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 84.2  24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 143.1 24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 178.1 24.00      0  52        1         0
#> 21.1  24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 103.1 24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 87.1  24.00      0  27        0         0
#> 141.1 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 74.2  24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 121.1 24.00      0  57        1         0
#> 131.1 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 161.2 24.00      0  45        0         0
#> 12.2  24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.550          NA        NA      NA
#> 2 age, Cure model          0.00984        NA        NA      NA
#> 3 grade_ii, Cure model     0.155          NA        NA      NA
#> 4 grade_iii, Cure model    0.747          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00355        NA        NA      NA
#> 2 grade_ii, Survival model   0.409          NA        NA      NA
#> 3 grade_iii, Survival model -0.252          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.550225          0.009837          0.154516          0.747454  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 261.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.550225302      0.009836803      0.154515846      0.747454418 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003551843      0.408664005     -0.251621659 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.079445333 0.742446218 0.455899790 0.700570392 0.895586735 0.327997741
#>   [7] 0.476296101 0.547260227 0.262972204 0.167360103 0.979077979 0.476296101
#>  [13] 0.140387289 0.003773719 0.597934933 0.648870563 0.567759465 0.794113713
#>  [19] 0.794113713 0.003773719 0.366700188 0.476296101 0.597934933 0.773444226
#>  [25] 0.679677679 0.968647239 0.227553310 0.864568657 0.140387289 0.435949335
#>  [31] 0.425947577 0.356880139 0.114124731 0.366700188 0.731956754 0.794113713
#>  [37] 0.347097409 0.327997741 0.114124731 0.937304409 0.435949335 0.097316381
#>  [43] 0.262972204 0.885176536 0.711149430 0.537035860 0.218794278 0.567759465
#>  [49] 0.679677679 0.547260227 0.281194158 0.506280929 0.227553310 0.597934933
#>  [55] 0.318451756 0.054816793 0.185508999 0.844054647 0.023657879 0.947819408
#>  [61] 0.711149430 0.844054647 0.752903137 0.905967714 0.299603462 0.097316381
#>  [67] 0.947819408 0.079445333 0.406087032 0.054816793 0.309000017 0.648870563
#>  [73] 0.752903137 0.023657879 0.012098366 0.926826531 0.185508999 0.227553310
#>  [79] 0.864568657 0.253791619 0.979077979 0.648870563 0.416002336 0.628346644
#>  [85] 0.396097227 0.567759465 0.526775142 0.023657879 0.131372904 0.140387289
#>  [91] 0.023657879 0.386188162 0.185508999 0.628346644 0.185508999 0.167360103
#>  [97] 0.794113713 0.281194158 0.516552645 0.916390371 0.023657879 0.466060307
#> [103] 0.012098366 0.773444226 0.794113713 0.054816793 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   113   140   171    57   107    58    85    39    68   197    77  85.1   136 
#> 22.86 12.68 16.57 14.46 11.18 19.34 16.44 15.59 20.62 21.60  7.27 16.44 21.83 
#>    78   157   133    29    37  37.1  78.1     8   192 157.1   177    96    70 
#> 23.88 15.10 14.65 15.45 12.52 12.52 23.88 18.43 16.44 15.10 12.53 14.54  7.38 
#>    36    56 136.1    23    30   179    66   8.1    14  37.2    76    55  66.1 
#> 21.19 12.21 21.83 16.92 17.43 18.63 22.13 18.43 12.89 12.52 19.22 19.34 22.13 
#>    61  23.1    63  68.1    43    60   125   153  29.1  96.1  39.1   150     5 
#> 10.12 16.92 22.77 20.62 12.10 13.15 15.65 21.33 15.45 14.54 15.59 20.33 16.43 
#>    99 157.2   170    69   139    42   164   183  60.1  42.1   154   159   166 
#> 21.19 15.10 19.54 23.23 21.49 12.43 23.60  9.24 13.15 12.43 12.63 10.55 19.98 
#>  63.1 183.1 113.1    41  69.1   105 133.1 154.1 164.1    86    93 139.1  99.1 
#> 22.77  9.24 22.86 18.02 23.23 19.75 14.65 12.63 23.60 23.81 10.33 21.49 21.19 
#>  56.1    90  77.1 133.2   184   180   108  29.2   100 164.2   175 136.2 164.3 
#> 12.21 20.94  7.27 14.65 17.77 14.82 18.29 15.45 16.07 23.60 21.91 21.83 23.60 
#>    88 139.2 180.1 139.3 197.1  37.3 150.1    79    10 164.4   181  86.1 177.1 
#> 18.37 21.49 14.82 21.49 21.60 12.52 20.33 16.23 10.53 23.60 16.46 23.81 12.53 
#>  37.4  69.2   118    74     3   147 147.1   191    27   152   138   161 191.1 
#> 12.52 23.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   102    80   3.1   104   3.2    21    72   178    28   200    84   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122  74.1   174   163    33 163.1   196 102.1   162   103   120   119   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   143   137    94   172   151    64    87  72.1    71 200.1    75   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1     7    11 151.1   173  12.1 191.2  72.2  33.1 126.1    82    54  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  84.2    44 143.1   146 178.1  21.1    46 103.1   144  87.1 141.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   121   156 161.1  74.2 126.2   142 121.1 131.1    34 161.2  12.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009458748               0.509878786               0.266804593 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.2629980               0.0277954              -0.1038753 
#>   grade_iii, Cure model 
#>               0.6678219 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 37    12.52      1  57        1         0
#> 164   23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 197   21.60      1  69        1         0
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 55    19.34      1  69        0         1
#> 37.1  12.52      1  57        1         0
#> 195   11.76      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 155.1 13.08      1  26        0         0
#> 36    21.19      1  48        0         1
#> 86    23.81      1  58        0         1
#> 26    15.77      1  49        0         1
#> 188.2 16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 93    10.33      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 97.1  19.14      1  65        0         1
#> 58    19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 68    20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 175   21.91      1  43        0         0
#> 55.1  19.34      1  69        0         1
#> 89    11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 188.3 16.16      1  46        0         1
#> 188.4 16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 24.1  23.89      1  38        0         0
#> 187    9.92      1  39        1         0
#> 51    18.23      1  83        0         1
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 128   20.35      1  35        0         1
#> 41.1  18.02      1  40        1         0
#> 149    8.37      1  33        1         0
#> 170.1 19.54      1  43        0         1
#> 167   15.55      1  56        1         0
#> 179   18.63      1  42        0         0
#> 81    14.06      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 105.1 19.75      1  60        0         0
#> 97.2  19.14      1  65        0         1
#> 89.1  11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 117.1 17.46      1  26        0         1
#> 175.2 21.91      1  43        0         0
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 166.1 19.98      1  48        0         0
#> 52    10.42      1  52        0         1
#> 81.1  14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 81.2  14.06      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 140   12.68      1  59        1         0
#> 125.1 15.65      1  67        1         0
#> 26.1  15.77      1  49        0         1
#> 105.2 19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 58.2  19.34      1  39        0         0
#> 187.1  9.92      1  39        1         0
#> 58.3  19.34      1  39        0         0
#> 40    18.00      1  28        1         0
#> 197.1 21.60      1  69        1         0
#> 179.1 18.63      1  42        0         0
#> 29    15.45      1  68        1         0
#> 88    18.37      1  47        0         0
#> 39    15.59      1  37        0         1
#> 180   14.82      1  37        0         0
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 39.1  15.59      1  37        0         1
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 81.3  14.06      1  34        0         0
#> 26.2  15.77      1  49        0         1
#> 30    17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 81.4  14.06      1  34        0         0
#> 97.3  19.14      1  65        0         1
#> 169   22.41      1  46        0         0
#> 92.1  22.92      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 43.1  12.10      1  61        0         1
#> 37.2  12.52      1  57        1         0
#> 134.1 17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 29.1  15.45      1  68        1         0
#> 124.1  9.73      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 153   21.33      1  55        1         0
#> 154   12.63      1  20        1         0
#> 115   24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 115.1 24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 82    24.00      0  34        0         0
#> 121.1 24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 33.1  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 80    24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 20.2  24.00      0  46        1         0
#> 20.3  24.00      0  46        1         0
#> 163.2 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 33.2  24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 12    24.00      0  63        0         0
#> 64    24.00      0  43        0         0
#> 186   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 109.1 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 2     24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 193.1 24.00      0  45        0         1
#> 47.1  24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 83.1  24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 138.1 24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 54.1  24.00      0  53        1         0
#> 17    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 186.1 24.00      0  45        1         0
#> 72.1  24.00      0  40        0         1
#> 19.1  24.00      0  57        0         1
#> 17.1  24.00      0  38        0         1
#> 48.1  24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 83.2  24.00      0   6        0         0
#> 142.2 24.00      0  53        0         0
#> 80.1  24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.26          NA        NA      NA
#> 2 age, Cure model           0.0278        NA        NA      NA
#> 3 grade_ii, Cure model     -0.104         NA        NA      NA
#> 4 grade_iii, Cure model     0.668         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00946        NA        NA      NA
#> 2 grade_ii, Survival model   0.510          NA        NA      NA
#> 3 grade_iii, Survival model  0.267          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.2630            0.0278           -0.1039            0.6678  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 250.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.2629980        0.0277954       -0.1038753        0.6678219 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009458748      0.509878786      0.266804593 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.773722477 0.840683524 0.018937069 0.508257000 0.077563250 0.988493251
#>   [7] 0.171257965 0.508257000 0.231862017 0.840683524 0.069993785 0.773722477
#>  [13] 0.107865083 0.009512919 0.559156925 0.508257000 0.285093276 0.942615419
#>  [19] 0.285093276 0.231862017 0.425329586 0.213970646 0.162984567 0.002270806
#>  [25] 0.131219567 0.762605749 0.187981252 0.374373181 0.049906185 0.231862017
#>  [31] 0.123503669 0.508257000 0.508257000 0.025115949 0.002270806 0.954158917
#>  [37] 0.363928043 0.435644763 0.896837126 0.049906185 0.405095754 0.885453118
#>  [43] 0.139093173 0.374373181 0.977023033 0.213970646 0.633119409 0.323236119
#>  [49] 0.708494866 0.231862017 0.187981252 0.285093276 0.697563433 0.435644763
#>  [55] 0.049906185 0.092335453 0.919613890 0.476806796 0.633119409 0.171257965
#>  [61] 0.931100340 0.708494866 0.590590618 0.708494866 0.818259923 0.115730060
#>  [67] 0.795934400 0.590590618 0.559156925 0.187981252 0.456010948 0.231862017
#>  [73] 0.954158917 0.231862017 0.394814254 0.077563250 0.323236119 0.654427454
#>  [79] 0.343306703 0.611825489 0.675822498 0.146994725 0.686657105 0.611825489
#>  [85] 0.031289661 0.353602775 0.708494866 0.559156925 0.466348383 0.009512919
#>  [91] 0.497812693 0.708494866 0.285093276 0.043147055 0.031289661 0.487315116
#>  [97] 0.896837126 0.840683524 0.405095754 0.874132144 0.654427454 0.818259923
#> [103] 0.146994725 0.100097016 0.807126345 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   155    37   164   188   197   127   166 188.1    55  37.1   136 155.1    36 
#> 13.08 12.52 23.60 16.16 21.60  3.53 19.98 16.16 19.34 12.52 21.83 13.08 21.19 
#>    86    26 188.2    97    93  97.1    58   184   170   158    24    68    60 
#> 23.81 15.77 16.16 19.14 10.33 19.14 19.34 17.77 19.54 20.14 23.89 20.62 13.15 
#>   105    41   175  55.1   190 188.3 188.4   129  24.1   187    51   117    43 
#> 19.75 18.02 21.91 19.34 20.81 16.16 16.16 23.41 23.89  9.92 18.23 17.46 12.10 
#> 175.1   134    56   128  41.1   149 170.1   167   179    81  58.1 105.1  97.2 
#> 21.91 17.81 12.21 20.35 18.02  8.37 19.54 15.55 18.63 14.06 19.34 19.75 19.14 
#>    57 117.1 175.2   139   159    45 167.1 166.1    52  81.1   125  81.2   177 
#> 14.46 17.46 21.91 21.49 10.55 17.42 15.55 19.98 10.42 14.06 15.65 14.06 12.53 
#>    32   140 125.1  26.1 105.2   111  58.2 187.1  58.3    40 197.1 179.1    29 
#> 20.90 12.68 15.65 15.77 19.75 17.45 19.34  9.92 19.34 18.00 21.60 18.63 15.45 
#>    88    39   180   150   133  39.1    92   108  81.3  26.2    30  86.1   192 
#> 18.37 15.59 14.82 20.33 14.65 15.59 22.92 18.29 14.06 15.77 17.43 23.81 16.44 
#>  81.4  97.3   169  92.1   106  43.1  37.2 134.1    42  29.1 177.1 150.1   153 
#> 14.06 19.14 22.41 22.92 16.67 12.10 12.52 17.81 12.43 15.45 12.53 20.33 21.33 
#>   154   163   196    11   162    75   160    94   116   141   121 162.1     3 
#> 12.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83 116.1   193    20   172    54   132    82 121.1   138    33    72  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    80   137 163.1   109  20.1   104 160.1    47 104.1  20.2  20.3 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  33.2    87    12    64   186 137.1   146    19    44 109.1    21   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1     2    65   144 193.1  47.1   147    84  83.1     9   142   119   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    53    46 138.1  94.1  54.1    17    35     7    67   7.1 186.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1  17.1  48.1    71 142.1    22  83.2 142.2  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00381439                0.55129211                0.31773585 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.3694119               0.0048528              -0.1132853 
#>   grade_iii, Cure model 
#>               1.2560246 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 125   15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 153   21.33      1  55        1         0
#> 36    21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 125.1 15.65      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 5.1   16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 130   16.47      1  53        0         1
#> 168   23.72      1  70        0         0
#> 8     18.43      1  32        0         0
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 197   21.60      1  69        1         0
#> 199   19.81      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 8.1   18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 6     15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 14    12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 184   17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 24    23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 39    15.59      1  37        0         1
#> 114   13.68      1  NA        0         0
#> 159.2 10.55      1  50        0         1
#> 52    10.42      1  52        0         1
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 24.1  23.89      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 8.2   18.43      1  32        0         0
#> 111.1 17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 140   12.68      1  59        1         0
#> 134   17.81      1  47        1         0
#> 170   19.54      1  43        0         1
#> 56    12.21      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 158   20.14      1  74        1         0
#> 76    19.22      1  54        0         1
#> 96    14.54      1  33        0         1
#> 114.1 13.68      1  NA        0         0
#> 10    10.53      1  34        0         0
#> 81    14.06      1  34        0         0
#> 5.2   16.43      1  51        0         1
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 5.3   16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 32.1  20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 78    23.88      1  43        0         0
#> 56.1  12.21      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 92.1  22.92      1  47        0         1
#> 194   22.40      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 10.1  10.53      1  34        0         0
#> 157   15.10      1  47        0         0
#> 41    18.02      1  40        1         0
#> 158.1 20.14      1  74        1         0
#> 188   16.16      1  46        0         1
#> 113   22.86      1  34        0         0
#> 159.3 10.55      1  50        0         1
#> 68.1  20.62      1  44        0         0
#> 128.1 20.35      1  35        0         1
#> 86    23.81      1  58        0         1
#> 180.1 14.82      1  37        0         0
#> 45    17.42      1  54        0         1
#> 66.1  22.13      1  53        0         0
#> 155   13.08      1  26        0         0
#> 100   16.07      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 70.1   7.38      1  30        1         0
#> 153.1 21.33      1  55        1         0
#> 11    24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 62    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 147.1 24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 20.1  24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 160.1 24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 172.1 24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 193.1 24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 22.2  24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 112   24.00      0  61        0         0
#> 126.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 112.1 24.00      0  61        0         0
#> 102.1 24.00      0  49        0         0
#> 118.1 24.00      0  44        1         0
#> 62.2  24.00      0  71        0         0
#> 64.1  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 151.1 24.00      0  42        0         0
#> 160.2 24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 73    24.00      0  NA        0         1
#> 156.1 24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 103   24.00      0  56        1         0
#> 20.2  24.00      0  46        1         0
#> 163.1 24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 103.1 24.00      0  56        1         0
#> 95.1  24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 64.2  24.00      0  43        0         0
#> 47.1  24.00      0  38        0         1
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 98    24.00      0  34        1         0
#> 17.1  24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 182.1 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.369          NA        NA      NA
#> 2 age, Cure model          0.00485        NA        NA      NA
#> 3 grade_ii, Cure model    -0.113          NA        NA      NA
#> 4 grade_iii, Cure model    1.26           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00381        NA        NA      NA
#> 2 grade_ii, Survival model   0.551          NA        NA      NA
#> 3 grade_iii, Survival model  0.318          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.369412          0.004853         -0.113285          1.256025  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 248.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.3694119        0.0048528       -0.1132853        1.2560246 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00381439       0.55129211       0.31773585 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.134261673 0.864727315 0.302112897 0.539520123 0.610810398 0.474691072
#>   [7] 0.619775775 0.446409301 0.211591677 0.232238565 0.974875352 0.619775775
#>  [13] 0.864727315 0.804157789 0.830186773 0.282408966 0.252585868 0.530327837
#>  [19] 0.539520123 0.232238565 0.991631217 0.101475190 0.511931309 0.051638743
#>  [25] 0.388890379 0.417426587 0.924228655 0.949708477 0.778092323 0.856101469
#>  [31] 0.200554642 0.575051696 0.575051696 0.089745557 0.388890379 0.262915634
#>  [37] 0.637402677 0.077624322 0.760683095 0.167281847 0.465276038 0.838865429
#>  [43] 0.725733739 0.484092631 0.008404775 0.983256453 0.646295033 0.864727315
#>  [49] 0.915645044 0.427122414 0.064663799 0.655163822 0.008404775 0.778092323
#>  [55] 0.388890379 0.484092631 0.360067738 0.189311224 0.769406702 0.455886647
#>  [61] 0.350382535 0.812839891 0.838865429 0.958176035 0.321560771 0.379219617
#>  [67] 0.690449389 0.898538049 0.708126693 0.539520123 0.699294645 0.743351138
#>  [73] 0.360067738 0.941214862 0.539520123 0.511931309 0.340652663 0.262915634
#>  [79] 0.672824751 0.743351138 0.026703058 0.812839891 0.708126693 0.795462565
#>  [85] 0.101475190 0.145774177 0.145774177 0.898538049 0.663984648 0.436817999
#>  [91] 0.321560771 0.592870137 0.122906358 0.864727315 0.282408966 0.302112897
#>  [97] 0.039351965 0.672824751 0.502607502 0.167281847 0.734537451 0.601826591
#> [103] 0.924228655 0.958176035 0.211591677 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   169   159   128     5    26   110   125    40   153    36    77 125.1 159.1 
#> 22.41 10.55 20.35 16.43 15.77 17.56 15.65 18.00 21.33 21.19  7.27 15.65 10.55 
#>    42    49    68    90   192   5.1    99   127    92   130   168     8   108 
#> 12.43 12.19 20.62 20.94 16.44 16.43 21.19  3.53 22.92 16.47 23.72 18.43 18.29 
#>   101   183   177   107   197    79  79.1    69   8.1    32     6   129    14 
#>  9.97  9.24 12.53 11.18 21.60 16.23 16.23 23.23 18.43 20.90 15.64 23.41 12.89 
#>    66   184    43    60   111    24    91    39 159.2    52    51   164   167 
#> 22.13 17.77 12.10 13.15 17.45 23.89  5.33 15.59 10.55 10.42 18.23 23.60 15.55 
#>  24.1 177.1   8.2 111.1    58   136   140   134   170    56  43.1    70   158 
#> 23.89 12.53 18.43 17.45 19.34 21.83 12.68 17.81 19.54 12.21 12.10  7.38 20.14 
#>    76    96    10    81   5.2    13   123    55   187   5.3 130.1   166  32.1 
#> 19.22 14.54 10.53 14.06 16.43 14.34 13.00 19.34  9.92 16.43 16.47 19.98 20.90 
#>   180 123.1    78  56.1  81.1    37  92.1   194 194.1  10.1   157    41 158.1 
#> 14.82 13.00 23.88 12.21 14.06 12.52 22.92 22.40 22.40 10.53 15.10 18.02 20.14 
#>   188   113 159.3  68.1 128.1    86 180.1    45  66.1   155   100 101.1  70.1 
#> 16.16 22.86 10.55 20.62 20.35 23.81 14.82 17.42 22.13 13.08 16.07  9.97  7.38 
#> 153.1    11   141   172   191   193   147   160    48   142    83    62    22 
#> 21.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 147.1    17    20   162   118   156    67  20.1   182     2   102    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 160.1    33  33.1 172.1 162.1   163    72  22.1 193.1   119   104     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   126     1  22.2   185  62.1   200   112 126.1    19    84 112.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1  62.2  64.1   151    95    27 151.1 160.2   146  27.1  48.1   1.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1  84.1   103  20.2 163.1    75 103.1  95.1   116    47   132  64.2  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 178.1   174    98  17.1 132.1     7   196   186 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01097571                0.43937243                0.34284137 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.098005489             0.001321749             0.005662998 
#>   grade_iii, Cure model 
#>             0.605195002 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 188   16.16      1  46        0         1
#> 180   14.82      1  37        0         0
#> 59    10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 60    13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 153   21.33      1  55        1         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 37    12.52      1  57        1         0
#> 197   21.60      1  69        1         0
#> 169   22.41      1  46        0         0
#> 136   21.83      1  43        0         1
#> 130   16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 188.1 16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 8     18.43      1  32        0         0
#> 37.1  12.52      1  57        1         0
#> 40    18.00      1  28        1         0
#> 181   16.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 123.1 13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 169.1 22.41      1  46        0         0
#> 51    18.23      1  83        0         1
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 61    10.12      1  36        0         1
#> 79    16.23      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 188.2 16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 113.1 22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 78    23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 42    12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 40.1  18.00      1  28        1         0
#> 45.1  17.42      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 55.1  19.34      1  69        0         1
#> 107   11.18      1  54        1         0
#> 199.1 19.81      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 18.1  15.21      1  49        1         0
#> 56.1  12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 159   10.55      1  50        0         1
#> 134.1 17.81      1  47        1         0
#> 166.1 19.98      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 117.1 17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 89    11.44      1  NA        0         0
#> 32.2  20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 189.1 10.51      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 145   10.07      1  65        1         0
#> 36.1  21.19      1  48        0         1
#> 107.1 11.18      1  54        1         0
#> 36.2  21.19      1  48        0         1
#> 55.2  19.34      1  69        0         1
#> 39    15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 197.1 21.60      1  69        1         0
#> 76.1  19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 166.2 19.98      1  48        0         0
#> 128   20.35      1  35        0         1
#> 59.1  10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 51.1  18.23      1  83        0         1
#> 32.3  20.90      1  37        1         0
#> 164   23.60      1  76        0         1
#> 128.1 20.35      1  35        0         1
#> 140.1 12.68      1  59        1         0
#> 111.1 17.45      1  47        0         1
#> 45.2  17.42      1  54        0         1
#> 15.1  22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 177.1 12.53      1  75        0         0
#> 136.1 21.83      1  43        0         1
#> 129.2 23.41      1  53        1         0
#> 45.3  17.42      1  54        0         1
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 200   24.00      0  64        0         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 162   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 47    24.00      0  38        0         1
#> 38    24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 47.1  24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 148.1 24.00      0  61        1         0
#> 28    24.00      0  67        1         0
#> 152   24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 112.1 24.00      0  61        0         0
#> 156.1 24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 20.1  24.00      0  46        1         0
#> 73    24.00      0  NA        0         1
#> 116.2 24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 116.3 24.00      0  58        0         1
#> 80    24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 152.1 24.00      0  36        0         1
#> 148.2 24.00      0  61        1         0
#> 21    24.00      0  47        0         0
#> 84.1  24.00      0  39        0         1
#> 20.2  24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 135.1 24.00      0  58        1         0
#> 33.1  24.00      0  53        0         0
#> 28.2  24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 118.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 148.3 24.00      0  61        1         0
#> 165   24.00      0  47        0         0
#> 162.2 24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 35.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 152.2 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0980         NA        NA      NA
#> 2 age, Cure model          0.00132        NA        NA      NA
#> 3 grade_ii, Cure model     0.00566        NA        NA      NA
#> 4 grade_iii, Cure model    0.605          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0110        NA        NA      NA
#> 2 grade_ii, Survival model    0.439         NA        NA      NA
#> 3 grade_iii, Survival model   0.343         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.098005          0.001322          0.005663          0.605195  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 257.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.098005489      0.001321749      0.005662998      0.605195002 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01097571       0.43937243       0.34284137 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7033468454 0.9388291856 0.9755954592 0.5807154017 0.6806322582
#>   [6] 0.2052687965 0.8663336684 0.7378474785 0.0386528397 0.1288038105
#>  [11] 0.3995593288 0.3369749552 0.2785331214 0.0179996393 0.8307338101
#>  [16] 0.1034310000 0.0645028172 0.0875156948 0.5151945446 0.3168968356
#>  [21] 0.1633190018 0.5807154017 0.6469955831 0.4624066783 0.3472833651
#>  [26] 0.8307338101 0.3787028155 0.5260933779 0.7609871805 0.0509024208
#>  [31] 0.4413725034 0.7609871805 0.1200465043 0.0645028172 0.3576832195
#>  [36] 0.1376524637 0.0069295252 0.9510667811 0.5696966169 0.6806322582
#>  [41] 0.2319811285 0.5807154017 0.8071895711 0.0386528397 0.0326153291
#>  [46] 0.0006718871 0.2592775094 0.1633190018 0.8903698199 0.2785331214
#>  [51] 0.8543920251 0.6693058546 0.3787028155 0.4624066783 0.0179996393
#>  [56] 0.2785331214 0.9024839080 0.5479314314 0.5370239677 0.7262957296
#>  [61] 0.5043444895 0.4204965477 0.6469955831 0.8663336684 0.7148009251
#>  [66] 0.9266410729 0.3995593288 0.2319811285 0.9755954592 0.4204965477
#>  [71] 0.5479314314 0.7493951552 0.1633190018 0.1964073415 0.6134221633
#>  [76] 0.9633124053 0.1376524637 0.9024839080 0.1376524637 0.2785331214
#>  [81] 0.6245945482 0.6357792023 0.7840243896 0.1034310000 0.3168968356
#>  [86] 0.0033382988 0.2319811285 0.2142792806 0.0793521109 0.3576832195
#>  [91] 0.1633190018 0.0119571765 0.2142792806 0.7840243896 0.4413725034
#>  [96] 0.4624066783 0.0509024208 0.2688844209 0.8071895711 0.0875156948
#> [101] 0.0179996393 0.4624066783 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    96    10   187   188   180    68    56    60   113   153   134   179    55 
#> 14.54 10.53  9.92 16.16 14.82 20.62 12.21 13.15 22.86 21.33 17.81 18.63 19.34 
#>   129    37   197   169   136   130    76    32 188.1    18    45     8  37.1 
#> 23.41 12.52 21.60 22.41 21.83 16.47 19.22 20.90 16.16 15.21 17.42 18.43 12.52 
#>    40   181   123    15   111 123.1   139 169.1    51    36   168    61    79 
#> 18.00 16.46 13.00 22.68 17.45 13.00 21.49 22.41 18.23 21.19 23.72 10.12 16.23 
#> 180.1   166 188.2   177 113.1    92    78   105  32.1    49    58    42   157 
#> 14.82 19.98 16.16 12.53 22.86 22.92 23.88 19.75 20.90 12.19 19.34 12.43 15.10 
#>  40.1  45.1 129.1  55.1   107     5   192    81   106   117  18.1  56.1    13 
#> 18.00 17.42 23.41 19.34 11.18 16.43 16.44 14.06 16.67 17.46 15.21 12.21 14.34 
#>   159 134.1 166.1 187.1 117.1   5.1   155  32.2   190     6   145  36.1 107.1 
#> 10.55 17.81 19.98  9.92 17.46 16.43 13.08 20.90 20.81 15.64 10.07 21.19 11.18 
#>  36.2  55.2    39   167   140 197.1  76.1    86 166.2   128    66  51.1  32.3 
#> 21.19 19.34 15.59 15.55 12.68 21.60 19.22 23.81 19.98 20.35 22.13 18.23 20.90 
#>   164 128.1 140.1 111.1  45.2  15.1   170 177.1 136.1 129.2  45.3   112    22 
#> 23.60 20.35 12.68 17.45 17.42 22.68 19.54 12.53 21.83 23.41 17.42 24.00 24.00 
#>   191   135   173    62    94   200    19   116   162    54   156   118   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1 116.1    98    33    82    47    38   148    72  47.1   137 191.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    95   120   163  22.1     9   185   119   141   126    44    20 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   152   186 112.1 156.1    84   198  20.1 116.2    65    17  82.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1     3 116.3    80    35   151    48 137.1   102 152.1 148.2    21  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2     1 135.1  33.1  28.2  65.1  98.1  83.1 118.1   122    53   161   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.3   165 162.2    12  35.1   160 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001432574               0.494984909               0.449349994 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.424585236             0.006084426             0.699846739 
#>   grade_iii, Cure model 
#>             0.254322788 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 88.1  18.37      1  47        0         0
#> 184   17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 41    18.02      1  40        1         0
#> 25     6.32      1  34        1         0
#> 91.1   5.33      1  61        0         1
#> 140.1 12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 190   20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 123   13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 36    21.19      1  48        0         1
#> 41.1  18.02      1  40        1         0
#> 63    22.77      1  31        1         0
#> 93    10.33      1  52        0         1
#> 63.1  22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 113   22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 78.1  23.88      1  43        0         0
#> 63.2  22.77      1  31        1         0
#> 192   16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 60    13.15      1  38        1         0
#> 5     16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 168   23.72      1  70        0         0
#> 157.1 15.10      1  47        0         0
#> 197   21.60      1  69        1         0
#> 70     7.38      1  30        1         0
#> 68    20.62      1  44        0         0
#> 195   11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 124    9.73      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 77     7.27      1  67        0         1
#> 16     8.71      1  71        0         1
#> 56    12.21      1  60        0         0
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 6     15.64      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 30    17.43      1  78        0         0
#> 108.1 18.29      1  39        0         1
#> 4.1   17.64      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 190.1 20.81      1  42        1         0
#> 187.1  9.92      1  39        1         0
#> 111.1 17.45      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 189   10.51      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 6.1   15.64      1  39        0         0
#> 195.1 11.76      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 5.1   16.43      1  51        0         1
#> 76.1  19.22      1  54        0         1
#> 29    15.45      1  68        1         0
#> 149    8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 52    10.42      1  52        0         1
#> 168.1 23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 180.1 14.82      1  37        0         0
#> 166.1 19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 93.1  10.33      1  52        0         1
#> 145   10.07      1  65        1         0
#> 40.1  18.00      1  28        1         0
#> 128   20.35      1  35        0         1
#> 91.2   5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 107.1 11.18      1  54        1         0
#> 184.1 17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 63.3  22.77      1  31        1         0
#> 90.1  20.94      1  50        0         1
#> 76.2  19.22      1  54        0         1
#> 86.1  23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 91.3   5.33      1  61        0         1
#> 59.1  10.16      1  NA        1         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 12.1  24.00      0  63        0         0
#> 53.1  24.00      0  32        0         1
#> 84    24.00      0  39        0         1
#> 151   24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 144   24.00      0  28        0         1
#> 20    24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 72.1  24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 163   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 84.1  24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 94.1  24.00      0  51        0         1
#> 115   24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 71.2  24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 20.2  24.00      0  46        1         0
#> 115.1 24.00      0  NA        1         0
#> 72.2  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 71.3  24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 120   24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 137.2 24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 116.1 24.00      0  58        0         1
#> 84.2  24.00      0  39        0         1
#> 94.3  24.00      0  51        0         1
#> 200   24.00      0  64        0         0
#> 144.1 24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 120.1 24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 193.1 24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 200.1 24.00      0  64        0         0
#> 191   24.00      0  60        0         1
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 112.1 24.00      0  61        0         0
#> 72.3  24.00      0  40        0         1
#> 160.1 24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 46.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.425          NA        NA      NA
#> 2 age, Cure model          0.00608        NA        NA      NA
#> 3 grade_ii, Cure model     0.700          NA        NA      NA
#> 4 grade_iii, Cure model    0.254          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00143        NA        NA      NA
#> 2 grade_ii, Survival model   0.495          NA        NA      NA
#> 3 grade_iii, Survival model  0.449          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.424585          0.006084          0.699847          0.254323  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 255.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.424585236      0.006084426      0.699846739      0.254322788 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001432574      0.494984909      0.449349994 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8452034 0.7641220 0.0550789 0.5189855 0.5189855 0.5888818 0.8016978
#>   [8] 0.5370453 0.8735816 0.9746770 0.2974600 0.3325223 0.5547147 0.9681622
#>  [15] 0.9746770 0.8016978 0.8523898 0.4353208 0.3756015 0.2064324 0.7942544
#>  [22] 0.1755453 0.7259320 0.3437782 0.5547147 0.2509949 0.8875711 0.2509949
#>  [29] 0.4156472 0.8595334 0.2363985 0.6057578 0.6871050 0.0550789 0.2509949
#>  [36] 0.6633882 0.8163037 0.7793332 0.6714110 0.7182434 0.1398581 0.7259320
#>  [43] 0.3097899 0.9485023 0.3955919 0.4642178 0.5098533 0.1032445 0.8307319
#>  [50] 0.3547895 0.9616156 0.9351782 0.8379705 0.2217574 0.9150058 0.6949367
#>  [57] 0.5719787 0.4737614 0.8163037 0.6306463 0.0213649 0.6223217 0.5370453
#>  [64] 0.7564616 0.3756015 0.9150058 0.6057578 0.1755453 0.6471349 0.4545287
#>  [71] 0.9485023 0.7793332 0.6949367 0.3097899 0.6714110 0.4737614 0.7104918
#>  [78] 0.9418572 0.6552954 0.8805954 0.1398581 0.7717295 0.9284639 0.7412054
#>  [85] 0.7412054 0.4353208 0.8875711 0.9013192 0.5719787 0.4056998 0.9746770
#>  [92] 0.6388955 0.8595334 0.5888818 0.5007134 0.4255777 0.2509949 0.3547895
#>  [99] 0.4737614 0.1032445 0.9081777 0.9746770 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    49    13    78    88  88.1   184   140   108   159    91    15   139    41 
#> 12.19 14.34 23.88 18.37 18.37 17.77 12.68 18.29 10.55  5.33 22.68 21.49 18.02 
#>    25  91.1 140.1    43   166   190    69   123   129   157    36  41.1    63 
#>  6.32  5.33 12.68 12.10 19.98 20.81 23.23 13.00 23.41 15.10 21.19 18.02 22.77 
#>    93  63.1   150   107   113   111   188  78.1  63.2   192   154    60     5 
#> 10.33 22.77 20.33 11.18 22.86 17.45 16.16 23.88 22.77 16.44 12.63 13.15 16.43 
#>    18   168 157.1   197    70    68    55     8    86   177    90    77    16 
#> 15.21 23.72 15.10 21.60  7.38 20.62 19.34 18.43 23.81 12.53 20.94  7.27  8.71 
#>    56    92   187     6    40    76 154.1    45    24    30 108.1   133 190.1 
#> 12.21 22.92  9.92 15.64 18.00 19.22 12.63 17.42 23.89 17.43 18.29 14.65 20.81 
#> 187.1 111.1 129.1   106   105  70.1  60.1   6.1 197.1   5.1  76.1    29   149 
#>  9.92 17.45 23.41 16.67 19.75  7.38 13.15 15.64 21.60 16.43 19.22 15.45  8.37 
#>   181    52 168.1    81   183   180 180.1 166.1  93.1   145  40.1   128  91.2 
#> 16.46 10.42 23.72 14.06  9.24 14.82 14.82 19.98 10.33 10.07 18.00 20.35  5.33 
#>    23 107.1 184.1   179   158  63.3  90.1  76.2  86.1   101  91.3   143   116 
#> 16.92 11.18 17.77 18.63 20.14 22.77 20.94 19.22 23.81  9.97  5.33 24.00 24.00 
#>    53    12    21  21.1   142    62    71    80   119   161    94    46   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    72  12.1  53.1    84   151   182   144    20   126   160    28  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    83   163    75  84.1   147    17  71.1   185   112  94.1    11    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2   109  20.1   176 119.1  20.2  72.2    19   103    82  71.3 137.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1     3 161.1   131   3.1   193   120 121.1 137.2     9  94.2 116.1  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.3   200 144.1   141   104 120.1    64 193.1    98 200.1   191    47   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 112.1  72.3 160.1    95  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002148543               0.777703045               0.314870512 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.61597940              0.01092086             -0.10658929 
#>   grade_iii, Cure model 
#>              1.01724614 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 184   17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 187    9.92      1  39        1         0
#> 183    9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 5     16.43      1  51        0         1
#> 177   12.53      1  75        0         0
#> 92    22.92      1  47        0         1
#> 4     17.64      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 111.1 17.45      1  47        0         1
#> 123   13.00      1  44        1         0
#> 125.1 15.65      1  67        1         0
#> 99    21.19      1  38        0         1
#> 113   22.86      1  34        0         0
#> 154   12.63      1  20        1         0
#> 78    23.88      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 111.2 17.45      1  47        0         1
#> 18    15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 187.1  9.92      1  39        1         0
#> 39.1  15.59      1  37        0         1
#> 125.2 15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 51.1  18.23      1  83        0         1
#> 159   10.55      1  50        0         1
#> 133   14.65      1  57        0         0
#> 107   11.18      1  54        1         0
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 36    21.19      1  48        0         1
#> 30.1  17.43      1  78        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 113.1 22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 50    10.02      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 181   16.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 41.1  18.02      1  40        1         0
#> 18.1  15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 125.3 15.65      1  67        1         0
#> 85    16.44      1  36        0         0
#> 69    23.23      1  25        0         1
#> 188.1 16.16      1  46        0         1
#> 52    10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 159.1 10.55      1  50        0         1
#> 190.1 20.81      1  42        1         0
#> 51.2  18.23      1  83        0         1
#> 125.4 15.65      1  67        1         0
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 117.1 17.46      1  26        0         1
#> 30.2  17.43      1  78        0         0
#> 68.1  20.62      1  44        0         0
#> 86.1  23.81      1  58        0         1
#> 187.2  9.92      1  39        1         0
#> 150   20.33      1  48        0         0
#> 111.3 17.45      1  47        0         1
#> 90.2  20.94      1  50        0         1
#> 181.1 16.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 96    14.54      1  33        0         1
#> 91     5.33      1  61        0         1
#> 77     7.27      1  67        0         1
#> 183.1  9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 30.3  17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 157   15.10      1  47        0         0
#> 159.2 10.55      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 159.3 10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 192.1 16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 199.1 19.81      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 171.1 16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 50.1  10.02      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 91.1   5.33      1  61        0         1
#> 127.2  3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 135   24.00      0  58        1         0
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 75.1  24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 48    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 122   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 19.1  24.00      0  57        0         1
#> 71    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 54.1  24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 182.1 24.00      0  35        0         0
#> 1.2   24.00      0  23        1         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 31.1  24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 200   24.00      0  64        0         0
#> 115   24.00      0  NA        1         0
#> 126.1 24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 191   24.00      0  60        0         1
#> 28.1  24.00      0  67        1         0
#> 54.2  24.00      0  53        1         0
#> 147   24.00      0  76        1         0
#> 71.1  24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 186   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 22.1  24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 161   24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 147.1 24.00      0  76        1         0
#> 148.2 24.00      0  61        1         0
#> 126.2 24.00      0  48        0         0
#> 54.3  24.00      0  53        1         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 147.2 24.00      0  76        1         0
#> 53.1  24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 19.2  24.00      0  57        0         1
#> 47    24.00      0  38        0         1
#> 121.1 24.00      0  57        1         0
#> 126.3 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.616         NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model     -0.107         NA        NA      NA
#> 4 grade_iii, Cure model     1.02          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00215        NA        NA      NA
#> 2 grade_ii, Survival model   0.778          NA        NA      NA
#> 3 grade_iii, Survival model  0.315          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.61598           0.01092          -0.10659           1.01725  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 252.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.61597940       0.01092086      -0.10658929       1.01724614 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002148543      0.777703045      0.314870512 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.45402379 0.51007235 0.58746631 0.19964926 0.92091240 0.93833967
#>   [7] 0.30218993 0.72873748 0.55424088 0.43386271 0.69163936 0.86639962
#>  [13] 0.14596418 0.80874940 0.55424088 0.84115613 0.72873748 0.26445597
#>  [19] 0.16475260 0.85392100 0.03466621 0.30218993 0.55424088 0.78924002
#>  [25] 0.76909140 0.92091240 0.76909140 0.72873748 0.78256031 0.25013948
#>  [31] 0.95549555 0.45402379 0.88497398 0.81526212 0.87884500 0.63685870
#>  [37] 0.33760828 0.26445597 0.58746631 0.94977909 0.41322417 0.16475260
#>  [43] 0.35950045 0.85392100 0.48272313 0.53682512 0.65290277 0.82824984
#>  [49] 0.48272313 0.78924002 0.50104471 0.71410146 0.72873748 0.66874861
#>  [55] 0.12584627 0.71410146 0.90889191 0.66874861 0.88497398 0.33760828
#>  [61] 0.45402379 0.72873748 0.08627305 0.26445597 0.84753967 0.83470442
#>  [67] 0.96681838 0.53682512 0.58746631 0.35950045 0.08627305 0.92091240
#>  [73] 0.38126169 0.55424088 0.30218993 0.65290277 0.43386271 0.03466621
#>  [79] 0.39226756 0.82176806 0.97242611 0.96116667 0.93833967 0.62035296
#>  [85] 0.69931012 0.69931012 0.87265365 0.58746631 0.52791466 0.80223235
#>  [91] 0.88497398 0.51007235 0.76226918 0.88497398 0.91491005 0.66874861
#>  [97] 0.62868264 0.98353743 0.40281436 0.63685870 0.42361113 0.98353743
#> [103] 0.21715628 0.97242611 0.98353743 0.23452857 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    51   184    30   194   187   183    90   125   111    88     5   177    92 
#> 18.23 17.77 17.43 22.40  9.92  9.24 20.94 15.65 17.45 18.37 16.43 12.53 22.92 
#>   180 111.1   123 125.1    99   113   154    78  90.1 111.2    18    39 187.1 
#> 14.82 17.45 13.00 15.65 21.19 22.86 12.63 23.88 20.94 17.45 15.21 15.59  9.92 
#>  39.1 125.2   167   153   149  51.1   159   133   107   171   190    36  30.1 
#> 15.59 15.65 15.55 21.33  8.37 18.23 10.55 14.65 11.18 16.57 20.81 21.19 17.43 
#>    16    58 113.1    68 154.1    41   117   181    13  41.1  18.1    40   188 
#>  8.71 19.34 22.86 20.62 12.63 18.02 17.46 16.46 14.34 18.02 15.21 18.00 16.16 
#> 125.3    85    69 188.1    52   192 159.1 190.1  51.2 125.4    86  36.1    14 
#> 15.65 16.44 23.23 16.16 10.42 16.44 10.55 20.81 18.23 15.65 23.81 21.19 12.89 
#>   155    25 117.1  30.2  68.1  86.1 187.2   150 111.3  90.2 181.1  88.1  78.1 
#> 13.08  6.32 17.46 17.43 20.62 23.81  9.92 20.33 17.45 20.94 16.46 18.37 23.88 
#>   158    96    91    77 183.1    45    79  79.1    49  30.3   110   157 159.2 
#> 20.14 14.54  5.33  7.27  9.24 17.42 16.23 16.23 12.19 17.43 17.56 15.10 10.55 
#> 184.1     6 159.3   101 192.1   106   127   170 171.1    76 127.1   175  91.1 
#> 17.77 15.64 10.55  9.97 16.44 16.67  3.53 19.54 16.57 19.22  3.53 21.91  5.33 
#> 127.2   197   135    75    19  75.1    46    53   163    31     7   126   137 
#>  3.53 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    28    48   121     1   185   1.1    95   120     9    64    84   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   122    65  19.1    71   118    83   151   152    94   182   141    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1   109   119    35   193     3   176 182.1   1.2   104   143   9.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1   138 162.1    22    87   200 126.1   146 119.1   191  28.1  54.2   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 119.2   186    11   148  22.1    62    44   161    38 148.1 147.1 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2  54.3   173    20 147.2  53.1   196  19.2    47 121.1 126.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004205119               0.369144490               0.216980924 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.175682031            -0.003023652             0.152761621 
#>   grade_iii, Cure model 
#>             0.262844130 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 16     8.71      1  71        0         1
#> 99    21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 190   20.81      1  42        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 57    14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 56.1  12.21      1  60        0         0
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 111.1 17.45      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 157   15.10      1  47        0         0
#> 10    10.53      1  34        0         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 66    22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 189   10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 154   12.63      1  20        1         0
#> 150   20.33      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 59.1  10.16      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 101.1  9.97      1  10        0         1
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 158   20.14      1  74        1         0
#> 139   21.49      1  63        1         0
#> 25.1   6.32      1  34        1         0
#> 41    18.02      1  40        1         0
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 61.1  10.12      1  36        0         1
#> 93.1  10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 96.1  14.54      1  33        0         1
#> 55    19.34      1  69        0         1
#> 129.1 23.41      1  53        1         0
#> 184.1 17.77      1  38        0         0
#> 60    13.15      1  38        1         0
#> 23    16.92      1  61        0         0
#> 189.1 10.51      1  NA        1         0
#> 61.2  10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 29.1  15.45      1  68        1         0
#> 154.1 12.63      1  20        1         0
#> 52    10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 136.1 21.83      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 23.1  16.92      1  61        0         0
#> 177.1 12.53      1  75        0         0
#> 52.1  10.42      1  52        0         1
#> 111.2 17.45      1  47        0         1
#> 129.2 23.41      1  53        1         0
#> 167   15.55      1  56        1         0
#> 181   16.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 93.2  10.33      1  52        0         1
#> 45    17.42      1  54        0         1
#> 154.2 12.63      1  20        1         0
#> 117   17.46      1  26        0         1
#> 125.2 15.65      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 189.2 10.51      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 93.3  10.33      1  52        0         1
#> 184.2 17.77      1  38        0         0
#> 57.1  14.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 92.1  22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 199.1 19.81      1  NA        0         1
#> 70     7.38      1  30        1         0
#> 92.2  22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 49.1  12.19      1  48        1         0
#> 26    15.77      1  49        0         1
#> 136.2 21.83      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 10.1  10.53      1  34        0         0
#> 71    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 84.1  24.00      0  39        0         1
#> 119   24.00      0  17        0         0
#> 198   24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 178   24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 3.1   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 94.1  24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 116.1 24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 143   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 193.1 24.00      0  45        0         1
#> 178.1 24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 176   24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 22.1  24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 104   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 182.1 24.00      0  35        0         0
#> 94.2  24.00      0  51        0         1
#> 19.1  24.00      0  57        0         1
#> 47.2  24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 27    24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 116.2 24.00      0  58        0         1
#> 71.1  24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 19.2  24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 53.2  24.00      0  32        0         1
#> 35.1  24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 3.2   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 116.3 24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 151.1 24.00      0  42        0         0
#> 176.1 24.00      0  43        0         1
#> 95.1  24.00      0  68        0         1
#> 35.2  24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 198.1 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 75.2  24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 94.3  24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 116.4 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 178.2 24.00      0  52        1         0
#> 74.1  24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 115.1 24.00      0  NA        1         0
#> 182.2 24.00      0  35        0         0
#> 174.1 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.176          NA        NA      NA
#> 2 age, Cure model         -0.00302        NA        NA      NA
#> 3 grade_ii, Cure model     0.153          NA        NA      NA
#> 4 grade_iii, Cure model    0.263          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00421        NA        NA      NA
#> 2 grade_ii, Survival model   0.369          NA        NA      NA
#> 3 grade_iii, Survival model  0.217          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.175682         -0.003024          0.152762          0.262844  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 257.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.175682031     -0.003023652      0.152761621      0.262844130 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004205119      0.369144490      0.216980924 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.631741006 0.592332721 0.951841936 0.232270242 0.758302377 0.553152407
#>   [7] 0.922844600 0.346586708 0.503327101 0.269126527 0.327171335 0.768039984
#>  [13] 0.651381956 0.183953708 0.768039984 0.173853644 0.990371682 0.971216583
#>  [19] 0.424916933 0.077986525 0.893925061 0.317410565 0.232270242 0.424916933
#>  [25] 0.553152407 0.611917203 0.816620110 0.050967648 0.026536033 0.680857491
#>  [31] 0.008209022 0.163849850 0.038548040 0.453795695 0.855491381 0.523233444
#>  [37] 0.738918030 0.806875065 0.533179403 0.710235253 0.278781504 0.942148931
#>  [43] 0.232270242 0.922844600 0.125050873 0.690720746 0.288498015 0.222392517
#>  [49] 0.971216583 0.366402020 0.356469665 0.134765260 0.893925061 0.855491381
#>  [55] 0.386074176 0.631741006 0.298195068 0.050967648 0.386074176 0.671006300
#>  [61] 0.473593835 0.893925061 0.088138849 0.592332721 0.710235253 0.836055355
#>  [67] 0.212466445 0.183953708 0.327171335 0.473593835 0.738918030 0.836055355
#>  [73] 0.424916933 0.050967648 0.582429558 0.513282985 0.621817720 0.855491381
#>  [79] 0.463693700 0.710235253 0.415050837 0.553152407 0.232270242 0.153966755
#>  [85] 0.008209022 0.134765260 0.855491381 0.386074176 0.651381956 0.376274834
#>  [91] 0.088138849 0.493372380 0.961542681 0.088138849 0.115129112 0.787501105
#>  [97] 0.298195068 0.787501105 0.543166912 0.183953708 0.690720746 0.816620110
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    96    29    16    99    37   125   101     8   130   190   179    56    57 
#> 14.54 15.45  8.71 21.19 12.52 15.65  9.97 18.43 16.47 20.81 18.63 12.21 14.46 
#>   136  56.1   175   127    25   111    69    61    76    36 111.1 125.1   157 
#> 21.83 12.21 21.91  3.53  6.32 17.45 23.23 10.12 19.22 21.19 17.45 15.65 15.10 
#>    10   129    86    14    24    66   164    30    93   188   177   159   100 
#> 10.53 23.41 23.81 12.89 23.89 22.13 23.60 17.43 10.33 16.16 12.53 10.55 16.07 
#>   154   150   183  36.1 101.1    63   140   158   139  25.1    41    88   169 
#> 12.63 20.33  9.24 21.19  9.97 22.77 12.68 20.14 21.49  6.32 18.02 18.37 22.41 
#>  61.1  93.1   184  96.1    55 129.1 184.1    60    23  61.2    92  29.1 154.1 
#> 10.12 10.33 17.77 14.54 19.34 23.41 17.77 13.15 16.92 10.12 22.92 15.45 12.63 
#>    52   197 136.1 179.1  23.1 177.1  52.1 111.2 129.2   167   181   180  93.2 
#> 10.42 21.60 21.83 18.63 16.92 12.53 10.42 17.45 23.41 15.55 16.46 14.82 10.33 
#>    45 154.2   117 125.2  99.1   194  24.1 169.1  93.3 184.2  57.1    40  92.1 
#> 17.42 12.63 17.46 15.65 21.19 22.40 23.89 22.41 10.33 17.77 14.46 18.00 22.92 
#>   106    70  92.2   113    49    58  49.1    26 136.2 140.1  10.1    71    94 
#> 16.67  7.38 22.92 22.86 12.19 19.34 12.19 15.77 21.83 12.68 10.53 24.00 24.00 
#>    87    84   131   186   151    35   116    12   102  84.1   119   198    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   109    65   193   178  47.1   3.1    95  94.1   174    22    72    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1  53.1   143    74 193.1 178.1   120 131.1    19   147   182   176    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    34  22.1   146    28   104    80 182.1  94.2  19.1  47.2    27 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.2  71.1 146.1  19.2     2  53.2  35.1   163   3.2   122 116.3    75 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1  95.1  35.2  75.1 198.1    46   142  75.2   126  94.3   148 116.4    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.2  74.1    54 182.2 174.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01385129                0.92761019                0.62725361 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.65560236              0.01833884             -0.13773896 
#>   grade_iii, Cure model 
#>              0.05837717 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 93    10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 41.1  18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 93.1  10.33      1  52        0         1
#> 183    9.24      1  67        1         0
#> 154   12.63      1  20        1         0
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 32    20.90      1  37        1         0
#> 89    11.44      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 76    19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 91     5.33      1  61        0         1
#> 154.1 12.63      1  20        1         0
#> 136   21.83      1  43        0         1
#> 106   16.67      1  49        1         0
#> 36    21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 140   12.68      1  59        1         0
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 32.1  20.90      1  37        1         0
#> 187    9.92      1  39        1         0
#> 164.1 23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 45.1  17.42      1  54        0         1
#> 41.2  18.02      1  40        1         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 56    12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 41.3  18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 168   23.72      1  70        0         0
#> 189   10.51      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 169.1 22.41      1  46        0         0
#> 89.1  11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 136.1 21.83      1  43        0         1
#> 76.1  19.22      1  54        0         1
#> 169.2 22.41      1  46        0         0
#> 184   17.77      1  38        0         0
#> 56.1  12.21      1  60        0         0
#> 139   21.49      1  63        1         0
#> 130   16.47      1  53        0         1
#> 164.2 23.60      1  76        0         1
#> 139.1 21.49      1  63        1         0
#> 89.2  11.44      1  NA        0         0
#> 56.2  12.21      1  60        0         0
#> 125   15.65      1  67        1         0
#> 169.3 22.41      1  46        0         0
#> 190.1 20.81      1  42        1         0
#> 194   22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 50.1  10.02      1  NA        1         0
#> 88.1  18.37      1  47        0         0
#> 130.1 16.47      1  53        0         1
#> 113.2 22.86      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 164.3 23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 179   18.63      1  42        0         0
#> 78.1  23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 136.2 21.83      1  43        0         1
#> 184.1 17.77      1  38        0         0
#> 66.1  22.13      1  53        0         0
#> 41.4  18.02      1  40        1         0
#> 154.2 12.63      1  20        1         0
#> 157   15.10      1  47        0         0
#> 106.1 16.67      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 66.2  22.13      1  53        0         0
#> 107   11.18      1  54        1         0
#> 41.5  18.02      1  40        1         0
#> 51.1  18.23      1  83        0         1
#> 50.2  10.02      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 184.2 17.77      1  38        0         0
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 91.1   5.33      1  61        0         1
#> 130.2 16.47      1  53        0         1
#> 42.1  12.43      1  49        0         1
#> 134   17.81      1  47        1         0
#> 155.1 13.08      1  26        0         0
#> 61.1  10.12      1  36        0         1
#> 88.2  18.37      1  47        0         0
#> 190.2 20.81      1  42        1         0
#> 167   15.55      1  56        1         0
#> 122   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 95.1  24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 152   24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 35    24.00      0  51        0         0
#> 95.2  24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 19.1  24.00      0  57        0         1
#> 75.1  24.00      0  21        1         0
#> 146   24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 191.1 24.00      0  60        0         1
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 64.1  24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 35.1  24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 94.1  24.00      0  51        0         1
#> 47.2  24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 75.2  24.00      0  21        1         0
#> 3     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 3.1   24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 176.2 24.00      0  43        0         1
#> 47.3  24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 73.1  24.00      0  NA        0         1
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 176.3 24.00      0  43        0         1
#> 191.2 24.00      0  60        0         1
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 35.2  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 95.3  24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 47.4  24.00      0  38        0         1
#> 82.2  24.00      0  34        0         0
#> 178.1 24.00      0  52        1         0
#> 185.1 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 173.1 24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.656         NA        NA      NA
#> 2 age, Cure model           0.0183        NA        NA      NA
#> 3 grade_ii, Cure model     -0.138         NA        NA      NA
#> 4 grade_iii, Cure model     0.0584        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0139        NA        NA      NA
#> 2 grade_ii, Survival model    0.928         NA        NA      NA
#> 3 grade_iii, Survival model   0.627         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.65560           0.01834          -0.13774           0.05838  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.65560236       0.01833884      -0.13773896       0.05837717 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01385129       0.92761019       0.62725361 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3954318052 0.2714943538 0.4174401365 0.5589732983 0.8842023530
#>   [6] 0.7163764684 0.6318463237 0.4174401365 0.0527496889 0.9475825075
#>  [11] 0.8842023530 0.9370280042 0.7697507140 0.0120166570 0.2129286336
#>  [16] 0.8107239954 0.3115247088 0.2914280309 0.5484163685 0.1805877298
#>  [21] 0.6423936402 0.9791364985 0.7697507140 0.1279185308 0.5799772244
#>  [26] 0.1805877298 0.0009972661 0.0319109293 0.0319109293 0.6952250841
#>  [31] 0.7590288083 0.6634220176 0.8735762511 0.2333144974 0.9686923527
#>  [36] 0.2129286336 0.9264735528 0.0120166570 0.7377015484 0.5589732983
#>  [41] 0.4174401365 0.3526282751 0.5277657593 0.5277657593 0.8314324334
#>  [46] 0.4174401365 0.9053717982 0.0061189555 0.0964642847 0.0527496889
#>  [51] 0.2019245330 0.1279185308 0.3115247088 0.0527496889 0.4863311784
#>  [56] 0.8314324334 0.1591663522 0.6007684620 0.0120166570 0.1591663522
#>  [61] 0.8314324334 0.6740319593 0.0527496889 0.2333144974 0.0865187517
#>  [66] 0.7270535097 0.3526282751 0.6007684620 0.0319109293 0.0120166570
#>  [71] 0.9581723575 0.3845208903 0.3421291778 0.0009972661 0.3317703093
#>  [76] 0.2914280309 0.2617179443 0.1279185308 0.4863311784 0.0964642847
#>  [81] 0.4174401365 0.7697507140 0.7057628625 0.5799772244 0.0964642847
#>  [86] 0.8629616185 0.4174401365 0.3954318052 0.5172097500 0.4863311784
#>  [91] 0.8003162334 0.6529069926 0.2814447996 0.9791364985 0.6007684620
#>  [96] 0.8107239954 0.4760847532 0.7377015484 0.9053717982 0.3526282751
#> [101] 0.2333144974 0.6846419757 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>    51   150    41    45    93   180     5  41.1   169    16  93.1   183   154 
#> 18.23 20.33 18.02 17.42 10.33 14.82 16.43 18.02 22.41  8.71 10.33  9.24 12.63 
#>   164    32    42    76    58    30    99    79    91 154.1   136   106    36 
#> 23.60 20.90 12.43 19.22 19.34 17.43 21.19 16.23  5.33 12.63 21.83 16.67 21.19 
#>    78   113 113.1    18   140   100    52   190    70  32.1   187 164.1   155 
#> 23.88 22.86 22.86 15.21 12.68 16.07 10.42 20.81  7.38 20.90  9.92 23.60 13.08 
#>  45.1  41.2    88   117 117.1    56  41.3    61   168    66 169.1    90 136.1 
#> 17.42 18.02 18.37 17.46 17.46 12.21 18.02 10.12 23.72 22.13 22.41 20.94 21.83 
#>  76.1 169.2   184  56.1   139   130 164.2 139.1  56.2   125 169.3 190.1   194 
#> 19.22 22.41 17.77 12.21 21.49 16.47 23.60 21.49 12.21 15.65 22.41 20.81 22.40 
#>    96  88.1 130.1 113.2 164.3   149   108   179  78.1    97    55   128 136.2 
#> 14.54 18.37 16.47 22.86 23.60  8.37 18.29 18.63 23.88 19.14 19.34 20.35 21.83 
#> 184.1  66.1  41.4 154.2   157 106.1  66.2   107  41.5  51.1   110 184.2   177 
#> 17.77 22.13 18.02 12.63 15.10 16.67 22.13 11.18 18.02 18.23 17.56 17.77 12.53 
#>   188   158  91.1 130.2  42.1   134 155.1  61.1  88.2 190.2   167   122    95 
#> 16.16 20.14  5.33 16.47 12.43 17.81 13.08 10.12 18.37 20.81 15.55 24.00 24.00 
#>   162   132    98    48    47     1  95.1    75   142   156    94  47.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    64     9   148    17   191   152 147.1    35  95.2    19    74    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    67   144  19.1  75.1   146    22 191.1   109    83  64.1 132.1   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1  17.1  94.1  47.2  82.1   178   143   126  75.2     3   176   3.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   196   121 176.1   174 176.2  47.3  22.1 135.1   120    71    33   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.3 191.2    80   185   131   9.1  35.2  80.1  95.3     7  47.4  82.2 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1 182.1 173.1   141    28 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02264351                0.87466727                0.41900891 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86590320              0.01993314             -0.09596565 
#>   grade_iii, Cure model 
#>              0.85805447 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 45    17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 68    20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 29    15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 108   18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 36    21.19      1  48        0         1
#> 171   16.57      1  41        0         1
#> 183    9.24      1  67        1         0
#> 139   21.49      1  63        1         0
#> 36.1  21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 158.1 20.14      1  74        1         0
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 167.1 15.55      1  56        1         0
#> 188   16.16      1  46        0         1
#> 154.2 12.63      1  20        1         0
#> 39    15.59      1  37        0         1
#> 181   16.46      1  45        0         1
#> 181.1 16.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 169   22.41      1  46        0         0
#> 169.1 22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 68.1  20.62      1  44        0         0
#> 101.1  9.97      1  10        0         1
#> 86    23.81      1  58        0         1
#> 68.2  20.62      1  44        0         0
#> 58.1  19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 139.1 21.49      1  63        1         0
#> 101.2  9.97      1  10        0         1
#> 70     7.38      1  30        1         0
#> 36.2  21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 158.2 20.14      1  74        1         0
#> 36.3  21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 170   19.54      1  43        0         1
#> 169.2 22.41      1  46        0         0
#> 170.1 19.54      1  43        0         1
#> 60    13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 171.1 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 153.1 21.33      1  55        1         0
#> 86.1  23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 154.3 12.63      1  20        1         0
#> 25.1   6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 181.2 16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 150.1 20.33      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 6     15.64      1  39        0         0
#> 188.1 16.16      1  46        0         1
#> 169.3 22.41      1  46        0         0
#> 96    14.54      1  33        0         1
#> 149.1  8.37      1  33        1         0
#> 24    23.89      1  38        0         0
#> 43    12.10      1  61        0         1
#> 194   22.40      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 26    15.77      1  49        0         1
#> 159.1 10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 16     8.71      1  71        0         1
#> 107   11.18      1  54        1         0
#> 169.4 22.41      1  46        0         0
#> 45.1  17.42      1  54        0         1
#> 175   21.91      1  43        0         0
#> 106   16.67      1  49        1         0
#> 32.1  20.90      1  37        1         0
#> 113.1 22.86      1  34        0         0
#> 51.1  18.23      1  83        0         1
#> 166   19.98      1  48        0         0
#> 49    12.19      1  48        1         0
#> 129   23.41      1  53        1         0
#> 41    18.02      1  40        1         0
#> 29.1  15.45      1  68        1         0
#> 85    16.44      1  36        0         0
#> 92    22.92      1  47        0         1
#> 166.1 19.98      1  48        0         0
#> 139.2 21.49      1  63        1         0
#> 3     24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 21    24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 82    24.00      0  34        0         0
#> 119.1 24.00      0  17        0         0
#> 174   24.00      0  49        1         0
#> 126.1 24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 35.1  24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 196.2 24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 174.1 24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 11.1  24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 151   24.00      0  42        0         0
#> 47.1  24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 54    24.00      0  53        1         0
#> 144.1 24.00      0  28        0         1
#> 46.1  24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 186.1 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 151.1 24.00      0  42        0         0
#> 31.2  24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 48    24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 200.1 24.00      0  64        0         0
#> 44.1  24.00      0  56        0         0
#> 135.1 24.00      0  58        1         0
#> 65.1  24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 185.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 118.1 24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 144.2 24.00      0  28        0         1
#> 137.2 24.00      0  45        1         0
#> 174.3 24.00      0  49        1         0
#> 44.2  24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 75.2  24.00      0  21        1         0
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.866         NA        NA      NA
#> 2 age, Cure model           0.0199        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0960        NA        NA      NA
#> 4 grade_iii, Cure model     0.858         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0226        NA        NA      NA
#> 2 grade_ii, Survival model    0.875         NA        NA      NA
#> 3 grade_iii, Survival model   0.419         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86590           0.01993          -0.09597           0.85805  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    268.8 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86590320       0.01993314      -0.09596565       0.85805447 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02264351       0.87466727       0.41900891 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.433341e-01 1.632262e-01 4.571119e-01 5.203870e-01 2.587123e-01
#>   [6] 1.024232e-01 3.521916e-01 2.306583e-01 8.593906e-02 5.335712e-01
#>  [11] 4.819461e-01 2.038195e-01 5.074180e-01 1.146239e-01 1.871724e-01
#>  [16] 7.057517e-02 6.433341e-01 8.170441e-04 9.850898e-01 2.567923e-02
#>  [21] 5.604067e-01 4.862796e-02 2.989951e-01 8.817142e-01 2.927974e-02
#>  [26] 4.862796e-02 6.957050e-01 1.146239e-01 4.035812e-02 3.752192e-03
#>  [31] 2.783588e-01 4.862796e-02 6.014743e-01 4.571119e-01 3.856268e-01
#>  [36] 6.433341e-01 4.447432e-01 3.199188e-01 3.199188e-01 7.583427e-02
#>  [41] 9.557711e-01 6.521111e-03 6.521111e-03 8.384696e-01 8.593906e-02
#>  [46] 8.384696e-01 1.630014e-04 8.593906e-02 1.632262e-01 8.236343e-01
#>  [51] 6.291991e-01 2.927974e-02 8.384696e-01 9.409469e-01 4.862796e-02
#>  [56] 9.114326e-01 1.146239e-01 4.862796e-02 7.094012e-01 7.944017e-01
#>  [61] 1.483582e-01 6.521111e-03 1.483582e-01 5.740515e-01 2.397980e-01
#>  [66] 2.989951e-01 4.085571e-01 5.876917e-01 4.035812e-02 1.630014e-04
#>  [71] 1.789338e-01 2.491064e-01 6.433341e-01 9.557711e-01 7.231881e-01
#>  [76] 3.199188e-01 3.743030e-01 1.024232e-01 7.231881e-01 6.014743e-01
#>  [81] 4.324910e-01 3.856268e-01 6.521111e-03 5.469429e-01 9.114326e-01
#>  [86] 1.532563e-05 7.655223e-01 1.650877e-02 1.650877e-02 4.204391e-01
#>  [91] 7.944017e-01 1.871724e-01 8.964878e-01 7.799227e-01 6.521111e-03
#>  [96] 2.587123e-01 2.228195e-02 2.886383e-01 7.583427e-02 3.752192e-03
#> [101] 2.038195e-01 1.340992e-01 7.512874e-01 1.631748e-03 2.215808e-01
#> [106] 4.819461e-01 3.521916e-01 2.588113e-03 1.340992e-01 2.927974e-02
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [196] 0.000000e+00
#> 
#> $Time
#>   154    58   167   157    45   150   192   134    68   180    29    51    18 
#> 12.63 19.34 15.55 15.10 17.42 20.33 16.44 17.81 20.62 14.82 15.45 18.23 15.21 
#>   158   108    90 154.1   168   127   136    13    36   171   183   139  36.1 
#> 20.14 18.29 20.94 12.63 23.72  3.53 21.83 14.34 21.19 16.57  9.24 21.49 21.19 
#>   177 158.1   153   113    23    99    14 167.1   188 154.2    39   181 181.1 
#> 12.53 20.14 21.33 22.86 16.92 21.19 12.89 15.55 16.16 12.63 15.59 16.46 16.46 
#>    32    25   169 169.1   101  68.1 101.1    86  68.2  58.1    61   140 139.1 
#> 20.90  6.32 22.41 22.41  9.97 20.62  9.97 23.81 20.62 19.34 10.12 12.68 21.49 
#> 101.2    70  36.2   149 158.2  36.3    37   159   170 169.2 170.1    60   111 
#>  9.97  7.38 21.19  8.37 20.14 21.19 12.52 10.55 19.54 22.41 19.54 13.15 17.45 
#> 171.1   100   155 153.1  86.1    76    30 154.3  25.1    56 181.2    79 150.1 
#> 16.57 16.07 13.08 21.33 23.81 19.22 17.43 12.63  6.32 12.21 16.46 16.23 20.33 
#>  56.1  14.1     6 188.1 169.3    96 149.1    24    43   194 194.1    26 159.1 
#> 12.21 12.89 15.64 16.16 22.41 14.54  8.37 23.89 12.10 22.40 22.40 15.77 10.55 
#> 108.1    16   107 169.4  45.1   175   106  32.1 113.1  51.1   166    49   129 
#> 18.29  8.71 11.18 22.41 17.42 21.91 16.67 20.90 22.86 18.23 19.98 12.19 23.41 
#>    41  29.1    85    92 166.1 139.2     3   173    21   121   196   119   141 
#> 18.02 15.45 16.44 22.92 19.98 21.49 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   104 141.1   137    31    53    20    75    46   146  31.1    35 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    82 119.1   174 126.1   185    95   144    11  35.1    12   143 196.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 174.1    87  11.1 193.1    47   142    84   151  47.1   132    27 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65   186    67    44    54 144.1  46.1     9 186.1   118 174.2    28 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2   200    48  84.1    17 200.1  44.1 135.1  65.1   182 185.1    34  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 118.1 132.1 144.2 137.2 174.3  44.2    22   3.1   3.2   109  20.1  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01791758                0.56842589                0.61465333 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.10514382              0.02293143             -0.30119288 
#>   grade_iii, Cure model 
#>              0.97097199 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 45    17.42      1  54        0         1
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 99    21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 39    15.59      1  37        0         1
#> 51    18.23      1  83        0         1
#> 25.1   6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 107   11.18      1  54        1         0
#> 113.1 22.86      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 23    16.92      1  61        0         0
#> 105   19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 15    22.68      1  48        0         0
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 26.1  15.77      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 14    12.89      1  21        0         0
#> 133   14.65      1  57        0         0
#> 55    19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 183    9.24      1  67        1         0
#> 15.1  22.68      1  48        0         0
#> 24    23.89      1  38        0         0
#> 39.1  15.59      1  37        0         1
#> 136   21.83      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 106   16.67      1  49        1         0
#> 57.1  14.46      1  45        0         1
#> 192.1 16.44      1  31        1         0
#> 113.2 22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 8.1   18.43      1  32        0         0
#> 159   10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 88    18.37      1  47        0         0
#> 68.2  20.62      1  44        0         0
#> 26.2  15.77      1  49        0         1
#> 77.2   7.27      1  67        0         1
#> 61.1  10.12      1  36        0         1
#> 195.1 11.76      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 188   16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 13.1  14.34      1  54        0         1
#> 155   13.08      1  26        0         0
#> 188.1 16.16      1  46        0         1
#> 194.1 22.40      1  38        0         1
#> 130   16.47      1  53        0         1
#> 117   17.46      1  26        0         1
#> 41    18.02      1  40        1         0
#> 70.1   7.38      1  30        1         0
#> 23.1  16.92      1  61        0         0
#> 157.1 15.10      1  47        0         0
#> 68.3  20.62      1  44        0         0
#> 26.3  15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 194.2 22.40      1  38        0         1
#> 127    3.53      1  62        0         1
#> 170.1 19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 30.1  17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 92    22.92      1  47        0         1
#> 77.3   7.27      1  67        0         1
#> 23.2  16.92      1  61        0         0
#> 153   21.33      1  55        1         0
#> 111.1 17.45      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 91.2   5.33      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 183.2  9.24      1  67        1         0
#> 149    8.37      1  33        1         0
#> 199.1 19.81      1  NA        0         1
#> 61.2  10.12      1  36        0         1
#> 167   15.55      1  56        1         0
#> 138   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 87.1  24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 148   24.00      0  61        1         0
#> 80.1  24.00      0  41        0         0
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 118   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 80.2  24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 22.1  24.00      0  52        1         0
#> 119.1 24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 44    24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 74.1  24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 44.1  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 98.2  24.00      0  34        1         0
#> 138.1 24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 138.2 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 94.1  24.00      0  51        0         1
#> 138.3 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 84    24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 65.1  24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 98.3  24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 17.1  24.00      0  38        0         1
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 17.2  24.00      0  38        0         1
#> 118.1 24.00      0  44        1         0
#> 65.2  24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 34.1  24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 12.1  24.00      0  63        0         0
#> 53.1  24.00      0  32        0         1
#> 72.1  24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 138.4 24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.11          NA        NA      NA
#> 2 age, Cure model           0.0229        NA        NA      NA
#> 3 grade_ii, Cure model     -0.301         NA        NA      NA
#> 4 grade_iii, Cure model     0.971         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0179        NA        NA      NA
#> 2 grade_ii, Survival model    0.568         NA        NA      NA
#> 3 grade_iii, Survival model   0.615         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.10514           0.02293          -0.30119           0.97097  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 244.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.10514382       0.02293143      -0.30119288       0.97097199 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01791758       0.56842589       0.61465333 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9850241 0.7918389 0.8017567 0.2776981 0.6048236 0.5945398 0.6146485
#>   [8] 0.6146485 0.9692139 0.9105481 0.9746927 0.9036329 0.6997249 0.8745521
#>  [15] 0.7414550 0.9850241 0.9746927 0.7414550 0.5721859 0.5454268 0.4263672
#>  [22] 0.7141007 0.6503439 0.6591537 0.3548842 0.6843414 0.9608616 0.9272815
#>  [29] 0.3548842 0.9608616 0.8066146 0.6760441 0.8707185 0.7706366 0.4488918
#>  [36] 0.8512317 0.9368966 0.8512317 0.6591537 0.7210533 0.9239761 0.5311474
#>  [43] 0.4876479 0.8893611 0.9206238 0.8965474 0.6997249 0.8341781 0.9400401
#>  [50] 0.9522278 0.4488918 0.1673952 0.8745521 0.5592850 0.9522278 0.8206024
#>  [57] 0.9036329 0.8341781 0.3548842 0.7815278 0.7210533 0.9337137 0.9901430
#>  [64] 0.7346887 0.6146485 0.8512317 0.9746927 0.9400401 0.7592315 0.8428436
#>  [71] 0.8857217 0.9105481 0.9172660 0.8428436 0.4876479 0.8297380 0.7761194
#>  [78] 0.7533713 0.9692139 0.8066146 0.8893611 0.6146485 0.8512317 0.9492076
#>  [85] 0.4876479 0.9975522 0.6843414 0.8668678 0.8252063 0.7918389 0.7649548
#>  [92] 0.9901430 0.3235859 0.9746927 0.8066146 0.5837614 0.7815278 0.8965474
#>  [99] 0.9901430 0.9272815 0.9522278 0.9664388 0.9400401 0.8820330 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000
#> 
#> $Time
#>    25    30    45   129   190    99    68  68.1    70    13    77    57    58 
#>  6.32 17.43 17.42 23.41 20.81 21.19 20.62 20.62  7.38 14.34  7.27 14.46 19.34 
#>    39    51  25.1  77.1  51.1   197   175    63    76   128   150   113   170 
#> 15.59 18.23  6.32  7.27 18.23 21.60 21.91 22.77 19.22 20.35 20.33 22.86 19.54 
#>    16   107 113.1  16.1    23   105     6   110    15    26    52  26.1 150.1 
#>  8.71 11.18 22.86  8.71 16.92 19.75 15.64 17.56 22.68 15.77 10.42 15.77 20.33 
#>     8    37    66   194   157    14   133    55   192    61   183  15.1    24 
#> 18.43 12.52 22.13 22.40 15.10 12.89 14.65 19.34 16.44 10.12  9.24 22.68 23.89 
#>  39.1   136 183.1   106  57.1 192.1 113.2   111   8.1   159    91    88  68.2 
#> 15.59 21.83  9.24 16.67 14.46 16.44 22.86 17.45 18.43 10.55  5.33 18.37 20.62 
#>  26.2  77.2  61.1   134   188    18  13.1   155 188.1 194.1   130   117    41 
#> 15.77  7.27 10.12 17.81 16.16 15.21 14.34 13.08 16.16 22.40 16.47 17.46 18.02 
#>  70.1  23.1 157.1  68.3  26.3   145 194.2   127 170.1   125   171  30.1   184 
#>  7.38 16.92 15.10 20.62 15.77 10.07 22.40  3.53 19.54 15.65 16.57 17.43 17.77 
#>  91.1    92  77.3  23.2   153 111.1 133.1  91.2 107.1 183.2   149  61.2   167 
#>  5.33 22.92  7.27 16.92 21.33 17.45 14.65  5.33 11.18  9.24  8.37 10.12 15.55 
#>   138    21    34   200    80   121    87   137   165    72  87.1    46   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  80.1     2    53   118    98  80.2   156    22  98.1    94    17   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    74   182  22.1 119.1   193    44   142  74.1 137.1    47  44.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2 138.1 156.1 138.2    65  94.1 138.3    67   173    84   109    33   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1 116.1  98.3   172   122  33.1    12   151   160   135  17.1 148.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   162    71  17.2 118.1  65.2    35   141 146.1     1  34.1   174  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1  72.1 200.1 138.4   176     9   161   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02025531                0.52603755                0.23064860 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74469736              0.01345559             -0.06581820 
#>   grade_iii, Cure model 
#>              1.11782800 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 167   15.55      1  56        1         0
#> 125   15.65      1  67        1         0
#> 168   23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 168.1 23.72      1  70        0         0
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 189   10.51      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 181   16.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 58    19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 93    10.33      1  52        0         1
#> 136   21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 86    23.81      1  58        0         1
#> 136.1 21.83      1  43        0         1
#> 188   16.16      1  46        0         1
#> 76    19.22      1  54        0         1
#> 164.1 23.60      1  76        0         1
#> 184   17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 85    16.44      1  36        0         0
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 91     5.33      1  61        0         1
#> 78    23.88      1  43        0         0
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 32    20.90      1  37        1         0
#> 145.1 10.07      1  65        1         0
#> 92    22.92      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 85.1  16.44      1  36        0         0
#> 149    8.37      1  33        1         0
#> 23    16.92      1  61        0         0
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 155.1 13.08      1  26        0         0
#> 99.1  21.19      1  38        0         1
#> 168.2 23.72      1  70        0         0
#> 26    15.77      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 150.1 20.33      1  48        0         0
#> 155.2 13.08      1  26        0         0
#> 90    20.94      1  50        0         1
#> 63    22.77      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 127    3.53      1  62        0         1
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 91.2   5.33      1  61        0         1
#> 79    16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 26.1  15.77      1  49        0         1
#> 127.1  3.53      1  62        0         1
#> 49    12.19      1  48        1         0
#> 188.1 16.16      1  46        0         1
#> 5.2   16.43      1  51        0         1
#> 61    10.12      1  36        0         1
#> 93.1  10.33      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 58.1  19.34      1  39        0         0
#> 123.1 13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 150.2 20.33      1  48        0         0
#> 39    15.59      1  37        0         1
#> 89    11.44      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 52    10.42      1  52        0         1
#> 113   22.86      1  34        0         0
#> 49.1  12.19      1  48        1         0
#> 149.1  8.37      1  33        1         0
#> 43    12.10      1  61        0         1
#> 111.1 17.45      1  47        0         1
#> 4     17.64      1  NA        0         1
#> 164.2 23.60      1  76        0         1
#> 85.2  16.44      1  36        0         0
#> 41    18.02      1  40        1         0
#> 180   14.82      1  37        0         0
#> 164.3 23.60      1  76        0         1
#> 170.1 19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 140   12.68      1  59        1         0
#> 197   21.60      1  69        1         0
#> 59    10.16      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 13    14.34      1  54        0         1
#> 56    12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 10.1  10.53      1  34        0         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 67    24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 160   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 120.2 24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 87.1  24.00      0  27        0         0
#> 104.1 24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 33    24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 141   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 35.1  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 1.1   24.00      0  23        1         0
#> 34.1  24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 74.1  24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 94.1  24.00      0  51        0         1
#> 1.2   24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 54.1  24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 54.2  24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 7.2   24.00      0  37        1         0
#> 131.1 24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 174.1 24.00      0  49        1         0
#> 131.2 24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 94.2  24.00      0  51        0         1
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 163.1 24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 122.1 24.00      0  66        0         0
#> 132.2 24.00      0  55        0         0
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.745         NA        NA      NA
#> 2 age, Cure model           0.0135        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0658        NA        NA      NA
#> 4 grade_iii, Cure model     1.12          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0203        NA        NA      NA
#> 2 grade_ii, Survival model    0.526         NA        NA      NA
#> 3 grade_iii, Survival model   0.231         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74470           0.01346          -0.06582           1.11783  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 248.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74469736       0.01345559      -0.06581820       1.11782800 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02025531       0.52603755       0.23064860 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.530752e-02 5.321251e-01 1.242658e-03 6.368124e-01 4.357708e-01
#>   [6] 3.848002e-01 2.611623e-04 2.437614e-01 2.611623e-04 9.876615e-03
#>  [11] 8.358700e-02 7.298305e-02 1.802877e-01 2.862613e-02 9.486882e-02
#>  [16] 5.903937e-02 2.339795e-01 1.721029e-01 2.830523e-01 9.486882e-02
#>  [21] 7.509388e-01 2.243956e-01 6.845886e-01 1.426598e-02 1.265687e-01
#>  [26] 4.909104e-05 1.426598e-02 3.261055e-01 1.131597e-01 1.242658e-03
#>  [31] 1.641682e-01 2.830523e-01 8.546835e-01 2.437614e-01 8.724448e-01
#>  [36] 1.410948e-01 9.078200e-01 4.501585e-06 7.852509e-01 8.025877e-01
#>  [41] 4.646322e-02 7.509388e-01 4.706147e-03 1.970506e-01 2.437614e-01
#>  [46] 8.200119e-01 2.059246e-01 4.901116e-01 8.724448e-01 2.862613e-02
#>  [51] 4.901116e-01 2.862613e-02 2.611623e-04 3.606831e-01 9.078200e-01
#>  [56] 2.862613e-02 5.903937e-02 4.901116e-01 4.231479e-02 8.051787e-03
#>  [61] 1.131597e-01 9.623641e-01 2.217201e-02 4.490219e-01 9.078200e-01
#>  [66] 3.149302e-01 5.467292e-02 3.606831e-01 9.623641e-01 5.908808e-01
#>  [71] 3.261055e-01 2.830523e-01 7.174625e-01 6.845886e-01 4.909104e-05
#>  [76] 1.193881e-02 9.486882e-02 5.321251e-01 3.972781e-01 5.903937e-02
#>  [81] 4.227008e-01 2.059246e-01 6.683911e-01 6.267676e-03 5.908808e-01
#>  [86] 8.200119e-01 6.212124e-01 1.802877e-01 1.242658e-03 2.437614e-01
#>  [91] 1.487155e-01 4.625011e-01 1.242658e-03 8.358700e-02 3.488455e-01
#>  [96] 7.174625e-01 3.972781e-01 1.337187e-01 7.298305e-02 5.609877e-01
#> [101] 1.925451e-02 4.646322e-02 4.761906e-01 5.757978e-01 1.564341e-01
#> [106] 6.368124e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   153   123   164    10   167   125   168   192 168.1    15   170   105   111 
#> 21.33 13.00 23.60 10.53 15.55 15.65 23.72 16.44 23.72 22.68 19.54 19.75 17.45 
#>    36    55   150   181   110     5    58   145   106    93   136    97    86 
#> 21.19 19.34 20.33 16.46 17.56 16.43 19.34 10.07 16.67 10.33 21.83 19.14 23.81 
#> 136.1   188    76 164.1   184   5.1    77    85    25    88    91    78   101 
#> 21.83 16.16 19.22 23.60 17.77 16.43  7.27 16.44  6.32 18.37  5.33 23.88  9.97 
#>   187    32 145.1    92    30  85.1   149    23   155  25.1    99 155.1  99.1 
#>  9.92 20.90 10.07 22.92 17.43 16.44  8.37 16.92 13.08  6.32 21.19 13.08 21.19 
#> 168.2    26  91.1  36.1 150.1 155.2    90    63  76.1   127   139    29  91.2 
#> 23.72 15.77  5.33 21.19 20.33 13.08 20.94 22.77 19.22  3.53 21.49 15.45  5.33 
#>    79   190  26.1 127.1    49 188.1   5.2    61  93.1  86.1    66  58.1 123.1 
#> 16.23 20.81 15.77  3.53 12.19 16.16 16.43 10.12 10.33 23.81 22.13 19.34 13.00 
#>     6 150.2    39  23.1    52   113  49.1 149.1    43 111.1 164.2  85.2    41 
#> 15.64 20.33 15.59 16.92 10.42 22.86 12.19  8.37 12.10 17.45 23.60 16.44 18.02 
#>   180 164.3 170.1   100  61.1   6.1   179 105.1   140   197  32.1    13    56 
#> 14.82 23.60 19.54 16.07 10.12 15.64 18.63 19.75 12.68 21.60 20.90 14.34 12.21 
#>    40  10.1   112    80   165   174    67     2     7   160    65   104   143 
#> 18.00 10.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   116    94   182    74   120 120.1   126   118    87    35 120.2   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1     1    28  87.1 104.1    72    33    54    34   141   176  35.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1   1.1  34.1   172  74.1    75   186   151    21   148    83   132  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.2   138   7.1  54.1   196   200  54.2    22    48   131   7.2 131.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   135 160.1    17   142    53   163    19   173 174.1 131.2  22.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2    64 132.1 163.1   122 104.2 122.1 132.2   146    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01003526                0.61728238                0.39500034 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.17243064              0.02343274              0.15353045 
#>   grade_iii, Cure model 
#>              0.75720866 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 183    9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 169   22.41      1  46        0         0
#> 113   22.86      1  34        0         0
#> 15    22.68      1  48        0         0
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 194   22.40      1  38        0         1
#> 140   12.68      1  59        1         0
#> 159   10.55      1  50        0         1
#> 170   19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 169.1 22.41      1  46        0         0
#> 108   18.29      1  39        0         1
#> 150   20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 130   16.47      1  53        0         1
#> 111   17.45      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 25.1   6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 164   23.60      1  76        0         1
#> 190   20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 5.1   16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 158   20.14      1  74        1         0
#> 125   15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 124    9.73      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 37    12.52      1  57        1         0
#> 70     7.38      1  30        1         0
#> 68.1  20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 15.1  22.68      1  48        0         0
#> 39    15.59      1  37        0         1
#> 6.1   15.64      1  39        0         0
#> 5.2   16.43      1  51        0         1
#> 49    12.19      1  48        1         0
#> 40    18.00      1  28        1         0
#> 5.3   16.43      1  51        0         1
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 56    12.21      1  60        0         0
#> 14    12.89      1  21        0         0
#> 164.1 23.60      1  76        0         1
#> 5.4   16.43      1  51        0         1
#> 37.1  12.52      1  57        1         0
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 50    10.02      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 190.1 20.81      1  42        1         0
#> 23    16.92      1  61        0         0
#> 199   19.81      1  NA        0         1
#> 45.1  17.42      1  54        0         1
#> 40.1  18.00      1  28        1         0
#> 49.1  12.19      1  48        1         0
#> 177   12.53      1  75        0         0
#> 8     18.43      1  32        0         0
#> 123.1 13.00      1  44        1         0
#> 117   17.46      1  26        0         1
#> 30.1  17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 187.1  9.92      1  39        1         0
#> 30.2  17.43      1  78        0         0
#> 159.2 10.55      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 157.1 15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 100   16.07      1  60        0         0
#> 43    12.10      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 164.2 23.60      1  76        0         1
#> 97    19.14      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 154   12.63      1  20        1         0
#> 49.2  12.19      1  48        1         0
#> 166.1 19.98      1  48        0         0
#> 40.2  18.00      1  28        1         0
#> 127.1  3.53      1  62        0         1
#> 6.2   15.64      1  39        0         0
#> 134   17.81      1  47        1         0
#> 170.1 19.54      1  43        0         1
#> 29    15.45      1  68        1         0
#> 56.1  12.21      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 164.3 23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 6.3   15.64      1  39        0         0
#> 199.1 19.81      1  NA        0         1
#> 29.1  15.45      1  68        1         0
#> 97.1  19.14      1  65        0         1
#> 197   21.60      1  69        1         0
#> 44    24.00      0  56        0         0
#> 186   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 3     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 44.1  24.00      0  56        0         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 142   24.00      0  53        0         0
#> 44.2  24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 135.1 24.00      0  58        1         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 12.1  24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 144.1 24.00      0  28        0         1
#> 103   24.00      0  56        1         0
#> 11    24.00      0  42        0         1
#> 1     24.00      0  23        1         0
#> 44.3  24.00      0  56        0         0
#> 131   24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 131.1 24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 38    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 200.1 24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 186.1 24.00      0  45        1         0
#> 12.2  24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 131.2 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 174.2 24.00      0  49        1         0
#> 152   24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 72    24.00      0  40        0         1
#> 94.1  24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 94.2  24.00      0  51        0         1
#> 115   24.00      0  NA        1         0
#> 172.1 24.00      0  41        0         0
#> 34.1  24.00      0  36        0         0
#> 65.1  24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 102   24.00      0  49        0         0
#> 22.1  24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 34.2  24.00      0  36        0         0
#> 38.1  24.00      0  31        1         0
#> 72.2  24.00      0  40        0         1
#> 44.4  24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 200.2 24.00      0  64        0         0
#> 82.1  24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.17          NA        NA      NA
#> 2 age, Cure model           0.0234        NA        NA      NA
#> 3 grade_ii, Cure model      0.154         NA        NA      NA
#> 4 grade_iii, Cure model     0.757         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0100        NA        NA      NA
#> 2 grade_ii, Survival model    0.617         NA        NA      NA
#> 3 grade_iii, Survival model   0.395         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.17243           0.02343           0.15353           0.75721  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 254.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.17243064       0.02343274       0.15353045       0.75720866 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01003526       0.61728238       0.39500034 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.457918952 0.881600387 0.924839511 0.189672934 0.009711977 0.082397312
#>   [7] 0.052888237 0.067612901 0.216688751 0.548816134 0.098237789 0.697410127
#>  [13] 0.827071987 0.198798304 0.957227113 0.082397312 0.292116473 0.155063639
#>  [19] 0.903285509 0.437525111 0.358585244 0.216688751 0.622148735 0.060410451
#>  [25] 0.957227113 0.397361687 0.016620426 0.123105336 0.368163196 0.457918952
#>  [31] 0.039426953 0.163621019 0.538395322 0.978566055 0.216688751 0.924839511
#>  [37] 0.827071987 0.527985315 0.138755537 0.643594825 0.859598427 0.740458029
#>  [43] 0.946420489 0.138755537 0.447715639 0.172231535 0.427364864 0.067612901
#>  [49] 0.590320322 0.548816134 0.457918952 0.783820660 0.302075933 0.457918952
#>  [55] 0.002245919 0.002245919 0.761999812 0.686625255 0.016620426 0.457918952
#>  [61] 0.740458029 0.654465374 0.870597015 0.665288093 0.123105336 0.417208566
#>  [67] 0.397361687 0.302075933 0.783820660 0.718887230 0.262828867 0.665288093
#>  [73] 0.349026148 0.368163196 0.507296609 0.903285509 0.368163196 0.827071987
#>  [79] 0.881600387 0.622148735 0.272534793 0.718887230 0.517594203 0.816128739
#>  [85] 0.339429358 0.016620426 0.243963256 0.039426953 0.708190748 0.783820660
#>  [91] 0.172231535 0.302075933 0.978566055 0.548816134 0.329917842 0.198798304
#>  [97] 0.600977122 0.761999812 0.272534793 0.016620426 0.106496829 0.548816134
#> [103] 0.600977122 0.243963256 0.114779213 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     5   101   183   105   168   169   113    15    58     6   194   140   159 
#> 16.43  9.97  9.24 19.75 23.72 22.41 22.86 22.68 19.34 15.64 22.40 12.68 10.55 
#>   170    25 169.1   108   150   187   130   111  58.1   157    63  25.1    45 
#> 19.54  6.32 22.41 18.29 20.33  9.92 16.47 17.45 19.34 15.10 22.77  6.32 17.42 
#>   164   190    30   5.1   129   158   125   127    55 183.1 159.1    26    68 
#> 23.60 20.81 17.43 16.43 23.41 20.14 15.65  3.53 19.34  9.24 10.55 15.77 20.62 
#>   180    93    37    70  68.1   181   166   171  15.1    39   6.1   5.2    49 
#> 14.82 10.33 12.52  7.38 20.62 16.46 19.98 16.57 22.68 15.59 15.64 16.43 12.19 
#>    40   5.3    24  24.1    56    14 164.1   5.4  37.1    60   145   123 190.1 
#> 18.00 16.43 23.89 23.89 12.21 12.89 23.60 16.43 12.52 13.15 10.07 13.00 20.81 
#>    23  45.1  40.1  49.1   177     8 123.1   117  30.1   188 187.1  30.2 159.2 
#> 16.92 17.42 18.00 12.19 12.53 18.43 13.00 17.46 17.43 16.16  9.92 17.43 10.55 
#> 101.1 157.1    88 177.1   100    43   184 164.2    97 129.1   154  49.2 166.1 
#>  9.97 15.10 18.37 12.53 16.07 12.10 17.77 23.60 19.14 23.41 12.63 12.19 19.98 
#>  40.2 127.1   6.2   134 170.1    29  56.1  88.1 164.3   136   6.3  29.1  97.1 
#> 18.00  3.53 15.64 17.81 19.54 15.45 12.21 18.37 23.60 21.83 15.64 15.45 19.14 
#>   197    44   186   118     2     3    22    12  44.1   135    98   172    82 
#> 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   178    65   3.1    21    64    31    67   142  44.2    94   137   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 135.1    33   200  12.1   144 144.1   103    11     1  44.3   131 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1  11.1    38   119    87 103.1   2.1 200.1   151 186.1  12.2   193 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    62 174.1    34 174.2   152   109   160    84    72  94.1   141 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2 172.1  34.1  65.1 178.1   198   102  22.1    19 152.1    83     9  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2  38.1  72.2  44.4   176   126    20 200.2  82.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01783979                0.61286580               -0.06019371 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.283601693             0.005446222            -0.096233244 
#>   grade_iii, Cure model 
#>             1.095855147 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 166   19.98      1  48        0         0
#> 63    22.77      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 99    21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 86    23.81      1  58        0         1
#> 61    10.12      1  36        0         1
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 192.1 16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 150   20.33      1  48        0         0
#> 6     15.64      1  39        0         0
#> 90    20.94      1  50        0         1
#> 96    14.54      1  33        0         1
#> 157.1 15.10      1  47        0         0
#> 183.1  9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 59.1  10.16      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 105   19.75      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 188.2 16.16      1  46        0         1
#> 158.1 20.14      1  74        1         0
#> 99.1  21.19      1  38        0         1
#> 175   21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 108   18.29      1  39        0         1
#> 99.2  21.19      1  38        0         1
#> 88    18.37      1  47        0         0
#> 81    14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 96.1  14.54      1  33        0         1
#> 37    12.52      1  57        1         0
#> 40    18.00      1  28        1         0
#> 13.1  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 96.2  14.54      1  33        0         1
#> 108.1 18.29      1  39        0         1
#> 79.1  16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 105.1 19.75      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 157.2 15.10      1  47        0         0
#> 111.1 17.45      1  47        0         1
#> 140   12.68      1  59        1         0
#> 23    16.92      1  61        0         0
#> 157.3 15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 42    12.43      1  49        0         1
#> 43    12.10      1  61        0         1
#> 59.2  10.16      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 79.2  16.23      1  54        1         0
#> 188.3 16.16      1  46        0         1
#> 101    9.97      1  10        0         1
#> 76    19.22      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 58    19.34      1  39        0         0
#> 150.1 20.33      1  48        0         0
#> 79.3  16.23      1  54        1         0
#> 6.1   15.64      1  39        0         0
#> 105.2 19.75      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 169   22.41      1  46        0         0
#> 79.4  16.23      1  54        1         0
#> 105.3 19.75      1  60        0         0
#> 192.2 16.44      1  31        1         0
#> 37.1  12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 157.4 15.10      1  47        0         0
#> 155   13.08      1  26        0         0
#> 6.2   15.64      1  39        0         0
#> 79.5  16.23      1  54        1         0
#> 6.3   15.64      1  39        0         0
#> 100   16.07      1  60        0         0
#> 154.1 12.63      1  20        1         0
#> 93    10.33      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 145   10.07      1  65        1         0
#> 41    18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 29.1  15.45      1  68        1         0
#> 113   22.86      1  34        0         0
#> 167.1 15.55      1  56        1         0
#> 181   16.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 99.3  21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 168.2 23.72      1  70        0         0
#> 18.1  15.21      1  49        1         0
#> 154.2 12.63      1  20        1         0
#> 10.1  10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 54.1  24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 65.1  24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 193   24.00      0  45        0         1
#> 12.1  24.00      0  63        0         0
#> 31    24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 104.1 24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 104.2 24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 1.1   24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 104.3 24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 152   24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 198.1 24.00      0  66        0         1
#> 112.1 24.00      0  61        0         0
#> 135.1 24.00      0  58        1         0
#> 19    24.00      0  57        0         1
#> 1.2   24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 28.1  24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 131.1 24.00      0  66        0         0
#> 65.2  24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 87.1  24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 131.2 24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 65.3  24.00      0  57        1         0
#> 196.2 24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 160.1 24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.284          NA        NA      NA
#> 2 age, Cure model          0.00545        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0962         NA        NA      NA
#> 4 grade_iii, Cure model    1.10           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0178        NA        NA      NA
#> 2 grade_ii, Survival model    0.613         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0602        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.283602          0.005446         -0.096233          1.095855  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.283601693      0.005446222     -0.096233244      1.095855147 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01783979       0.61286580      -0.06019371 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.429403e-02 7.386006e-03 3.641348e-02 1.576621e-02 1.514095e-01
#>   [6] 7.185690e-06 8.489244e-01 1.771249e-01 4.445810e-01 9.151823e-01
#>  [11] 1.958272e-01 5.759359e-01 2.768995e-01 2.768995e-01 9.826976e-01
#>  [16] 1.958272e-01 8.008273e-01 2.931456e-02 3.284715e-01 2.601458e-02
#>  [21] 5.076272e-01 4.445810e-01 9.151823e-01 1.337341e-02 6.798913e-01
#>  [26] 5.307529e-02 3.962472e-01 2.768995e-01 3.641348e-02 1.576621e-02
#>  [31] 1.116344e-02 8.985332e-01 1.014493e-03 7.238213e-01 1.051011e-01
#>  [36] 1.576621e-02 9.810359e-02 6.048472e-01 6.494862e-01 5.076272e-01
#>  [41] 7.390026e-01 1.354384e-01 5.759359e-01 5.479256e-01 2.737143e-03
#>  [46] 4.202542e-01 2.227079e-01 5.076272e-01 1.051011e-01 2.227079e-01
#>  [51] 1.427336e-04 5.307529e-02 4.429403e-02 4.445810e-01 1.514095e-01
#>  [56] 6.646269e-01 1.682038e-01 4.445810e-01 3.728794e-01 7.694651e-01
#>  [61] 7.850392e-01 5.479256e-01 2.227079e-01 2.768995e-01 8.819086e-01
#>  [66] 8.498498e-02 6.048472e-01 7.322390e-02 2.931456e-02 2.227079e-01
#>  [71] 3.284715e-01 5.307529e-02 1.014493e-03 4.010466e-03 9.165841e-03
#>  [76] 2.227079e-01 5.307529e-02 1.958272e-01 7.390026e-01 1.196231e-01
#>  [81] 9.137846e-02 4.445810e-01 6.344010e-01 3.284715e-01 2.227079e-01
#>  [86] 3.284715e-01 3.175416e-01 6.798913e-01 8.326572e-01 7.185690e-06
#>  [91] 8.653503e-01 1.275072e-01 9.487114e-01 3.962472e-01 5.581681e-03
#>  [96] 3.728794e-01 1.863404e-01 1.427336e-04 1.576621e-02 9.656024e-01
#> [101] 1.427336e-04 4.202542e-01 6.798913e-01 8.008273e-01 1.433144e-01
#> [106] 7.322390e-02 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   166    63   158    99   111    86    61   130   157   183   192    13   188 
#> 19.98 22.77 20.14 21.19 17.45 23.81 10.12 16.47 15.10  9.24 16.44 14.34 16.16 
#> 188.1   127 192.1    10   150     6    90    96 157.1 183.1   197   154   105 
#> 16.16  3.53 16.44 10.53 20.33 15.64 20.94 14.54 15.10  9.24 21.60 12.63 19.75 
#>    29 188.2 158.1  99.1   175   187   164   177   108  99.2    88    81   123 
#> 15.45 16.16 20.14 21.19 21.91  9.92 23.60 12.53 18.29 21.19 18.37 14.06 13.00 
#>  96.1    37    40  13.1    57    69    18    79  96.2 108.1  79.1   168 105.1 
#> 14.54 12.52 18.00 14.34 14.46 23.23 15.21 16.23 14.54 18.29 16.23 23.72 19.75 
#> 166.1 157.2 111.1   140    23 157.3   167    42    43  57.1  79.2 188.3   101 
#> 19.98 15.10 17.45 12.68 16.92 15.10 15.55 12.43 12.10 14.46 16.23 16.16  9.97 
#>    76  81.1    58 150.1  79.3   6.1 105.2 164.1    92   169  79.4 105.3 192.2 
#> 19.22 14.06 19.34 20.33 16.23 15.64 19.75 23.60 22.92 22.41 16.23 19.75 16.44 
#>  37.1    51    97 157.4   155   6.2  79.5   6.3   100 154.1    93  86.1   145 
#> 12.52 18.23 19.14 15.10 13.08 15.64 16.23 15.64 16.07 12.63 10.33 23.81 10.07 
#>    41    70  29.1   113 167.1   181 168.1  99.3    91 168.2  18.1 154.2  10.1 
#> 18.02  7.38 15.45 22.86 15.55 16.46 23.72 21.19  5.33 23.72 15.21 12.63 10.53 
#>   184  58.1   148 148.1    65    87    46   131    83     7   135   142    54 
#> 17.77 19.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104    84  54.1   198     1  65.1   196    64    12  64.1   193  12.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    48   141   138  48.1  64.2 104.1    71   151   146 104.2   137   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    95    28    67    47   165   112   116 104.3     2   162   200   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160 193.1 198.1 112.1 135.1    19   1.2   119  28.1   178 196.1 131.1  65.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   144   109 137.1   118   147     9    21  87.1   176    20   156    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    44    35 131.2 126.1  65.3 196.2   121 160.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005268463               0.876183500               0.331560764 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.26961012              0.01028464             -0.21250650 
#>   grade_iii, Cure model 
#>              0.20039579 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 79    16.23      1  54        1         0
#> 92    22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 105   19.75      1  60        0         0
#> 168   23.72      1  70        0         0
#> 43    12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 113.1 22.86      1  34        0         0
#> 184   17.77      1  38        0         0
#> 39    15.59      1  37        0         1
#> 79.1  16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 194   22.40      1  38        0         1
#> 140   12.68      1  59        1         0
#> 164   23.60      1  76        0         1
#> 180   14.82      1  37        0         0
#> 167   15.55      1  56        1         0
#> 39.1  15.59      1  37        0         1
#> 10.1  10.53      1  34        0         0
#> 107   11.18      1  54        1         0
#> 15    22.68      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 100   16.07      1  60        0         0
#> 37    12.52      1  57        1         0
#> 175   21.91      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 188   16.16      1  46        0         1
#> 130   16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 155   13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 39.2  15.59      1  37        0         1
#> 155.1 13.08      1  26        0         0
#> 184.1 17.77      1  38        0         0
#> 45.1  17.42      1  54        0         1
#> 29    15.45      1  68        1         0
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 97    19.14      1  65        0         1
#> 69    23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 113.2 22.86      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 10.2  10.53      1  34        0         0
#> 133   14.65      1  57        0         0
#> 130.1 16.47      1  53        0         1
#> 50.1  10.02      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 194.1 22.40      1  38        0         1
#> 24    23.89      1  38        0         0
#> 92.1  22.92      1  47        0         1
#> 184.2 17.77      1  38        0         0
#> 88.1  18.37      1  47        0         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 157   15.10      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 157.1 15.10      1  47        0         0
#> 61    10.12      1  36        0         1
#> 50.2  10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 184.3 17.77      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 108   18.29      1  39        0         1
#> 10.3  10.53      1  34        0         0
#> 81    14.06      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 101    9.97      1  10        0         1
#> 43.1  12.10      1  61        0         1
#> 5     16.43      1  51        0         1
#> 199.1 19.81      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 130.2 16.47      1  53        0         1
#> 100.1 16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 188.1 16.16      1  46        0         1
#> 190.2 20.81      1  42        1         0
#> 108.1 18.29      1  39        0         1
#> 158   20.14      1  74        1         0
#> 170   19.54      1  43        0         1
#> 101.1  9.97      1  10        0         1
#> 15.1  22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 195.1 11.76      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 59    10.16      1  NA        1         0
#> 195.2 11.76      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 40.1  18.00      1  28        1         0
#> 175.2 21.91      1  43        0         0
#> 96    14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 78.2  23.88      1  43        0         0
#> 154.1 12.63      1  20        1         0
#> 15.2  22.68      1  48        0         0
#> 142   24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 9     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 44    24.00      0  56        0         0
#> 9.1   24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 3     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 3.1   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 1     24.00      0  23        1         0
#> 31    24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 120   24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 34    24.00      0  36        0         0
#> 116   24.00      0  58        0         1
#> 62    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 33.2  24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 143.1 24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 112.2 24.00      0  61        0         0
#> 178   24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 84.1  24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 31.1  24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 31.2  24.00      0  36        0         1
#> 132.1 24.00      0  55        0         0
#> 162.1 24.00      0  51        0         0
#> 87.2  24.00      0  27        0         0
#> 9.2   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 87.3  24.00      0  27        0         0
#> 132.2 24.00      0  55        0         0
#> 104.1 24.00      0  50        1         0
#> 73.1  24.00      0  NA        0         1
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 3.2   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 3.3   24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 132.3 24.00      0  55        0         0
#> 191.1 24.00      0  60        0         1
#> 31.3  24.00      0  36        0         1
#> 17.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.270         NA        NA      NA
#> 2 age, Cure model           0.0103        NA        NA      NA
#> 3 grade_ii, Cure model     -0.213         NA        NA      NA
#> 4 grade_iii, Cure model     0.200         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00527        NA        NA      NA
#> 2 grade_ii, Survival model   0.876          NA        NA      NA
#> 3 grade_iii, Survival model  0.332          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.26961           0.01028          -0.21251           0.20040  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 258.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.26961012       0.01028464      -0.21250650       0.20039579 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005268463      0.876183500      0.331560764 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.359011941 0.603925604 0.092355681 0.114625837 0.908622574 0.318112748
#>   [7] 0.055199784 0.874923832 0.410316963 0.114625837 0.440156198 0.659702498
#>  [13] 0.603925604 0.258112045 0.191521209 0.823338785 0.067617580 0.732754830
#>  [19] 0.687341934 0.659702498 0.908622574 0.891901630 0.159027096 0.891901630
#>  [25] 0.641029859 0.857882178 0.213491604 0.778579323 0.622503505 0.546936834
#>  [31] 0.147915641 0.488776274 0.017123837 0.975408236 0.796467967 0.287643258
#>  [37] 0.659702498 0.796467967 0.440156198 0.488776274 0.696582459 0.246600886
#>  [43] 0.814408206 0.967090876 0.348764817 0.080195252 0.114625837 0.488776274
#>  [49] 0.338520975 0.908622574 0.741900017 0.546936834 0.866391649 0.823338785
#>  [55] 0.369317470 0.191521209 0.005047143 0.092355681 0.440156198 0.369317470
#>  [61] 0.517894967 0.778579323 0.714618435 0.741900017 0.714618435 0.941956220
#>  [67] 0.527841244 0.440156198 0.017123837 0.389889497 0.908622574 0.769377629
#>  [73] 0.258112045 0.950391028 0.874923832 0.584874837 0.307979357 0.213491604
#>  [79] 0.696582459 0.546936834 0.641029859 0.478841724 0.622503505 0.258112045
#>  [85] 0.389889497 0.297919945 0.328334405 0.950391028 0.159027096 0.575250115
#>  [91] 0.991826219 0.043594414 0.983651749 0.840816486 0.420687324 0.527841244
#>  [97] 0.420687324 0.213491604 0.760193949 0.584874837 0.017123837 0.840816486
#> [103] 0.159027096 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   179    79    92   113    10   105   168    43    51 113.1   184    39  79.1 
#> 18.63 16.23 22.92 22.86 10.53 19.75 23.72 12.10 18.23 22.86 17.77 15.59 16.23 
#>   190   194   140   164   180   167  39.1  10.1   107    15 107.1   100    37 
#> 20.81 22.40 12.68 23.60 14.82 15.55 15.59 10.53 11.18 22.68 11.18 16.07 12.52 
#>   175    60   188   130    63    45    78    70   155    68  39.2 155.1 184.1 
#> 21.91 13.15 16.16 16.47 22.77 17.42 23.88  7.38 13.08 20.62 15.59 13.08 17.77 
#>  45.1    29   136   123   187    97    69 113.2  45.2    58  10.2   133 130.1 
#> 17.42 15.45 21.83 13.00  9.92 19.14 23.23 22.86 17.42 19.34 10.53 14.65 16.47 
#>    56 140.1    88 194.1    24  92.1 184.2  88.1    23  60.1   157 133.1 157.1 
#> 12.21 12.68 18.37 22.40 23.89 22.92 17.77 18.37 16.92 13.15 15.10 14.65 15.10 
#>    61   106 184.3  78.1   108  10.3    81 190.1   101  43.1     5   166 175.1 
#> 10.12 16.67 17.77 23.88 18.29 10.53 14.06 20.81  9.97 12.10 16.43 19.98 21.91 
#>  29.1 130.2 100.1   117 188.1 190.2 108.1   158   170 101.1  15.1    85    91 
#> 15.45 16.47 16.07 17.46 16.16 20.81 18.29 20.14 19.54  9.97 22.68 16.44  5.33 
#>    86    25   154    40 106.1  40.1 175.2    96   5.1  78.2 154.1  15.2   142 
#> 23.81  6.32 12.63 18.00 16.67 18.00 21.91 14.54 16.43 23.88 12.63 22.68 24.00 
#>    20     9    87    44   9.1    94    17   104   135     3   141 141.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   3.1    33   112    82    64   172   176     1    31    84    11   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1  87.1   138  33.1  44.1    34   116    62   143    75   185 112.1  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   160  75.1 143.1   191 112.2   178    53   196   137    83   162   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1    72  84.1   102  31.1   156  20.1  31.2 132.1 162.1  87.2   9.2    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   144   186   174   126 178.1  87.3 132.2 104.1   119     2   3.2   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.3  17.1   193 132.3 191.1  31.3  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00113723                0.56483383                0.15971742 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.09783341              0.01963181              0.09102399 
#>   grade_iii, Cure model 
#>              1.05611574 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 10    10.53      1  34        0         0
#> 68    20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 113   22.86      1  34        0         0
#> 86    23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 49    12.19      1  48        1         0
#> 99    21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 18    15.21      1  49        1         0
#> 81    14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 108.1 18.29      1  39        0         1
#> 45    17.42      1  54        0         1
#> 159   10.55      1  50        0         1
#> 23    16.92      1  61        0         0
#> 81.1  14.06      1  34        0         0
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 77     7.27      1  67        0         1
#> 189   10.51      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 49.2  12.19      1  48        1         0
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 166   19.98      1  48        0         0
#> 96.1  14.54      1  33        0         1
#> 63    22.77      1  31        1         0
#> 155   13.08      1  26        0         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 166.1 19.98      1  48        0         0
#> 157   15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 92    22.92      1  47        0         1
#> 66    22.13      1  53        0         0
#> 129   23.41      1  53        1         0
#> 37    12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 26    15.77      1  49        0         1
#> 179   18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 15    22.68      1  48        0         0
#> 69    23.23      1  25        0         1
#> 192   16.44      1  31        1         0
#> 166.2 19.98      1  48        0         0
#> 37.1  12.52      1  57        1         0
#> 79.1  16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 117   17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 68.2  20.62      1  44        0         0
#> 76.1  19.22      1  54        0         1
#> 77.1   7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 89    11.44      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 90    20.94      1  50        0         1
#> 128   20.35      1  35        0         1
#> 100.1 16.07      1  60        0         0
#> 189.1 10.51      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 145   10.07      1  65        1         0
#> 13    14.34      1  54        0         1
#> 125   15.65      1  67        1         0
#> 55.1  19.34      1  69        0         1
#> 166.3 19.98      1  48        0         0
#> 36    21.19      1  48        0         1
#> 77.2   7.27      1  67        0         1
#> 128.1 20.35      1  35        0         1
#> 181.1 16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 139   21.49      1  63        1         0
#> 60    13.15      1  38        1         0
#> 169   22.41      1  46        0         0
#> 181.2 16.46      1  45        0         1
#> 29.1  15.45      1  68        1         0
#> 52.1  10.42      1  52        0         1
#> 113.1 22.86      1  34        0         0
#> 43.2  12.10      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 99.1  21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 79.2  16.23      1  54        1         0
#> 123.1 13.00      1  44        1         0
#> 79.3  16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 194   22.40      1  38        0         1
#> 36.1  21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 129.1 23.41      1  53        1         0
#> 175.1 21.91      1  43        0         0
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 6     15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 108.2 18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 126   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 80.1  24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 38.1  24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 165.1 24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 87.1  24.00      0  27        0         0
#> 31    24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 115   24.00      0  NA        1         0
#> 67.1  24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 38.2  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 71    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 19.1  24.00      0  57        0         1
#> 71.1  24.00      0  51        0         0
#> 186.1 24.00      0  45        1         0
#> 67.2  24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 144.1 24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 161   24.00      0  45        0         0
#> 82.1  24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 141.1 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 163.1 24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 174.2 24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 120.2 24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 21    24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 33.1  24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 138.1 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.10          NA        NA      NA
#> 2 age, Cure model           0.0196        NA        NA      NA
#> 3 grade_ii, Cure model      0.0910        NA        NA      NA
#> 4 grade_iii, Cure model     1.06          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00114        NA        NA      NA
#> 2 grade_ii, Survival model   0.565          NA        NA      NA
#> 3 grade_iii, Survival model  0.160          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.09783           0.01963           0.09102           1.05612  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.09783341       0.01963181       0.09102399       1.05611574 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00113723       0.56483383       0.15971742 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.41772257 0.94586809 0.29574221 0.53003615 0.59469282 0.10394870
#>   [7] 0.01306689 0.03247870 0.47419919 0.89150791 0.23874893 0.72654949
#>  [13] 0.34271226 0.74348269 0.80190423 0.29574221 0.88353107 0.89150791
#>  [19] 0.47419919 0.53937570 0.93806074 0.54869858 0.80190423 0.38930565
#>  [25] 0.71790567 0.97696295 0.74348269 0.89150791 0.76855533 0.66547021
#>  [31] 0.35229644 0.76855533 0.12522684 0.82682093 0.61287964 0.56734931
#>  [37] 0.39887971 0.35229644 0.76016373 0.28610995 0.09280110 0.17705937
#>  [43] 0.06009329 0.86763374 0.45541232 0.69171003 0.44594057 0.91481231
#>  [49] 0.63100889 0.13571102 0.08150318 0.59469282 0.35229644 0.86763374
#>  [55] 0.63100889 0.85141485 0.52067811 0.13571102 0.61287964 0.85955182
#>  [61] 0.29574221 0.41772257 0.97696295 0.67424494 0.95367788 0.03247870
#>  [67] 0.83511870 0.45541232 0.27625306 0.32383960 0.67424494 0.91481231
#>  [73] 0.96920672 0.79355663 0.70048619 0.39887971 0.35229644 0.23874893
#>  [79] 0.97696295 0.32383960 0.56734931 0.19752245 0.22856771 0.81852559
#>  [85] 0.15603515 0.56734931 0.72654949 0.95367788 0.10394870 0.91481231
#>  [91] 0.17705937 0.23874893 0.63100889 0.83511870 0.63100889 0.43647819
#>  [97] 0.16658811 0.23874893 0.55803209 0.06009329 0.19752245 0.51129664
#> [103] 0.21808904 0.70919361 0.78519995 0.47419919 0.50189973 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    76    10    68   111    85   113    86   164   108    49    99    29   150 
#> 19.22 10.53 20.62 17.45 16.44 22.86 23.81 23.60 18.29 12.19 21.19 15.45 20.33 
#>    18    81  68.1    42  49.1 108.1    45   159    23  81.1   170   167    77 
#> 15.21 14.06 20.62 12.43 12.19 18.29 17.42 10.55 16.92 14.06 19.54 15.55  7.27 
#>  18.1  49.2    96   188   166  96.1    63   155     5   181    55 166.1   157 
#> 15.21 12.19 14.54 16.16 19.98 14.54 22.77 13.08 16.43 16.46 19.34 19.98 15.10 
#>   190    92    66   129    37    88    26   179    43    79    15    69   192 
#> 20.81 22.92 22.13 23.41 12.52 18.37 15.77 18.63 12.10 16.23 22.68 23.23 16.44 
#> 166.2  37.1  79.1   140   117  15.1   5.1   154  68.2  76.1  77.1   100    52 
#> 19.98 12.52 16.23 12.68 17.46 22.68 16.43 12.63 20.62 19.22  7.27 16.07 10.42 
#> 164.1   123  88.1    90   128 100.1  43.1   145    13   125  55.1 166.3    36 
#> 23.60 13.00 18.37 20.94 20.35 16.07 12.10 10.07 14.34 15.65 19.34 19.98 21.19 
#>  77.2 128.1 181.1   175   139    60   169 181.2  29.1  52.1 113.1  43.2  66.1 
#>  7.27 20.35 16.46 21.91 21.49 13.15 22.41 16.46 15.45 10.42 22.86 12.10 22.13 
#>  99.1  79.2 123.1  79.3    97   194  36.1   130 129.1 175.1   110   136     6 
#> 21.19 16.23 13.00 16.23 19.14 22.40 21.19 16.47 23.41 21.91 17.56 21.83 15.64 
#>    57 108.2    51   120   141    11   174   104   165    38   173   176    19 
#> 14.46 18.29 18.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   138   151 174.1   172   135    80   191   132   137    67   126   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1    82    72  38.1    87    62   109    95   131    75 165.1   186    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  87.1    31    98  67.1   178    47     9    46   200   146  38.2 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   121  19.1  71.1 186.1  67.2 200.1    84   144 144.1   160   118  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161  82.1   143   182 141.1    22 176.1 120.1 163.1    33  72.1 174.2   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   103    94 120.2 103.1    83    21    34  33.1 138.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02216879                0.45496159                0.09606925 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.209701949            -0.007622566             0.454939743 
#>   grade_iii, Cure model 
#>             0.709489275 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 43    12.10      1  61        0         1
#> 25     6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 14    12.89      1  21        0         0
#> 187    9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 192   16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 23    16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 15    22.68      1  48        0         0
#> 129.1 23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 70     7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 26    15.77      1  49        0         1
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 177   12.53      1  75        0         0
#> 139   21.49      1  63        1         0
#> 184.1 17.77      1  38        0         0
#> 117.1 17.46      1  26        0         1
#> 149    8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 117.2 17.46      1  26        0         1
#> 113   22.86      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 49    12.19      1  48        1         0
#> 149.1  8.37      1  33        1         0
#> 190   20.81      1  42        1         0
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 181   16.46      1  45        0         1
#> 15.1  22.68      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 155   13.08      1  26        0         0
#> 45.2  17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 81.1  14.06      1  34        0         0
#> 155.1 13.08      1  26        0         0
#> 127.1  3.53      1  62        0         1
#> 180   14.82      1  37        0         0
#> 39    15.59      1  37        0         1
#> 133   14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 96    14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 85    16.44      1  36        0         0
#> 171.1 16.57      1  41        0         1
#> 192.2 16.44      1  31        1         0
#> 79    16.23      1  54        1         0
#> 192.3 16.44      1  31        1         0
#> 117.3 17.46      1  26        0         1
#> 88.1  18.37      1  47        0         0
#> 125.1 15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 70.2   7.38      1  30        1         0
#> 15.2  22.68      1  48        0         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 153   21.33      1  55        1         0
#> 171.2 16.57      1  41        0         1
#> 91.1   5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 139.1 21.49      1  63        1         0
#> 125.2 15.65      1  67        1         0
#> 180.1 14.82      1  37        0         0
#> 45.3  17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 114   13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 158.1 20.14      1  74        1         0
#> 36.1  21.19      1  48        0         1
#> 92    22.92      1  47        0         1
#> 93    10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 15.3  22.68      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 179.1 18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 14.1  12.89      1  21        0         0
#> 92.1  22.92      1  47        0         1
#> 4     17.64      1  NA        0         1
#> 140.1 12.68      1  59        1         0
#> 125.3 15.65      1  67        1         0
#> 32.1  20.90      1  37        1         0
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 122   24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 122.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 33.1  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 144.1 24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 62    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 9     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 121   24.00      0  57        1         0
#> 156.1 24.00      0  50        1         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 162.1 24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 33.2  24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 147.1 24.00      0  76        1         0
#> 176.1 24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 109.1 24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 162.2 24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 147.2 24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 11.2  24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 71.1  24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 9.2   24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 173.1 24.00      0  19        0         1
#> 11.3  24.00      0  42        0         1
#> 95    24.00      0  68        0         1
#> 21.1  24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 20.1  24.00      0  46        1         0
#> 19    24.00      0  57        0         1
#> 19.1  24.00      0  57        0         1
#> 104.2 24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 160.1 24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 104.3 24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 7     24.00      0  37        1         0
#> 9.3   24.00      0  31        1         0
#> 122.2 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 162.3 24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.210          NA        NA      NA
#> 2 age, Cure model         -0.00762        NA        NA      NA
#> 3 grade_ii, Cure model     0.455          NA        NA      NA
#> 4 grade_iii, Cure model    0.709          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0222        NA        NA      NA
#> 2 grade_ii, Survival model    0.455         NA        NA      NA
#> 3 grade_iii, Survival model   0.0961        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.209702         -0.007623          0.454940          0.709489  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.2 
#> Residual Deviance: 264.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.209701949     -0.007622566      0.454939743      0.709489275 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02216879       0.45496159       0.09606925 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.313221e-01 4.524575e-01 7.256457e-01 9.046174e-01 8.807092e-02
#>   [6] 1.266990e-04 3.135779e-02 5.516619e-01 7.960754e-01 7.695844e-02
#>  [11] 4.498636e-02 2.113011e-01 7.781264e-01 2.963413e-01 5.813722e-01
#>  [16] 4.661885e-01 1.061011e-01 1.602592e-01 4.941040e-01 1.689534e-03
#>  [21] 1.266990e-04 9.610417e-01 8.503160e-01 6.827009e-07 2.858666e-01
#>  [26] 9.231905e-01 3.398232e-01 6.274761e-01 1.162536e-02 8.807092e-02
#>  [31] 1.061011e-01 8.141615e-01 2.295535e-02 1.061011e-01 1.172440e-03
#>  [36] 3.398232e-01 2.113011e-01 9.847867e-03 7.086729e-01 8.141615e-01
#>  [41] 2.838527e-02 6.432884e-01 4.463813e-03 1.933200e-01 1.689534e-03
#>  [46] 1.313221e-01 5.225357e-01 1.313221e-01 6.829621e-03 4.661885e-01
#>  [51] 5.225357e-01 9.610417e-01 4.001738e-01 3.632036e-01 4.257321e-01
#>  [56] 4.890942e-02 8.503160e-01 4.389992e-01 7.429072e-01 6.674552e-02
#>  [61] 3.451696e-02 1.683330e-01 2.113011e-01 1.683330e-01 2.113011e-01
#>  [66] 2.657554e-01 2.113011e-01 1.061011e-01 6.674552e-02 2.963413e-01
#>  [71] 3.876395e-01 8.259437e-03 5.305446e-02 8.503160e-01 1.689534e-03
#>  [76] 6.918836e-01 9.978071e-02 1.559620e-02 1.683330e-01 9.231905e-01
#>  [81] 6.119803e-01 1.933200e-01 6.432884e-01 1.162536e-02 2.963413e-01
#>  [86] 4.001738e-01 1.313221e-01 1.789532e-02 3.752921e-01 1.825547e-05
#>  [91] 3.782562e-02 5.580770e-03 5.745370e-02 3.782562e-02 1.789532e-02
#>  [96] 4.851102e-04 7.603838e-01 6.753887e-01 1.689534e-03 2.657554e-01
#> [101] 4.941040e-01 8.244899e-02 5.745370e-02 2.559007e-01 5.516619e-01
#> [106] 4.851102e-04 5.813722e-01 2.963413e-01 2.295535e-02 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [196] 0.000000e+00
#> 
#> $Time
#>    45    13    43    25   184   129    68    14   187   108   170   192    61 
#> 17.42 14.34 12.10  6.32 17.77 23.41 20.62 12.89  9.92 18.29 19.54 16.44 10.12 
#>   125   140    81   117    23    60    15 129.1   127    70    86    26    91 
#> 15.65 12.68 14.06 17.46 16.92 13.15 22.68 23.41  3.53  7.38 23.81 15.77  5.33 
#>     6   177   139 184.1 117.1   149    32 117.2   113   6.1 192.1   197    49 
#> 15.64 12.53 21.49 17.77 17.46  8.37 20.90 17.46 22.86 15.64 16.44 21.60 12.19 
#> 149.1   190    37   169   181  15.1  45.1   155  45.2    66  81.1 155.1 127.1 
#>  8.37 20.81 12.52 22.41 16.46 22.68 17.42 13.08 17.42 22.13 14.06 13.08  3.53 
#>   180    39   133    76  70.1    96    10    88   128   171    85 171.1 192.2 
#> 14.82 15.59 14.65 19.22  7.38 14.54 10.53 18.37 20.35 16.57 16.44 16.57 16.44 
#>    79 192.3 117.3  88.1 125.1    18   136    97  70.2  15.2    56   110   153 
#> 16.23 16.44 17.46 18.37 15.65 15.21 21.83 19.14  7.38 22.68 12.21 17.56 21.33 
#> 171.2  91.1   154 181.1  37.1 139.1 125.2 180.1  45.3    36    29   168   158 
#> 16.57  5.33 12.63 16.46 12.52 21.49 15.65 14.82 17.42 21.19 15.45 23.72 20.14 
#>   194   179 158.1  36.1    92    93    42  15.3  79.1  60.1    41 179.1     5 
#> 22.40 18.63 20.14 21.19 22.92 10.33 12.43 22.68 16.23 13.15 18.02 18.63 16.43 
#>  14.1  92.1 140.1 125.3  32.1   173   126    72   160   156   174   122    11 
#> 12.89 22.92 12.68 15.65 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 122.1    21   144    17    33   148   151   103   146   141 126.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    34   131   191 144.1    46    62   162  72.1     9    20   121 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104    47   176    64    71   147 162.1  11.1  33.2   109    82 147.1 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 109.1    38  64.1   196 162.2   135 147.2   163   9.1  11.2 104.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1  62.1   9.2 173.1  11.3    95  21.1    83  20.1    19  19.1 104.2   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1  47.1    44    35 104.3  95.1    80 148.1     7   9.3 122.2    84 162.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01098758                0.81188522                0.34440196 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74324006              0.01234911              0.12514018 
#>   grade_iii, Cure model 
#>              0.67971149 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 14    12.89      1  21        0         0
#> 58    19.34      1  39        0         0
#> 190   20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 10    10.53      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 149    8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 78.1  23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 89.1  11.44      1  NA        0         0
#> 61.1  10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 57.1  14.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 164   23.60      1  76        0         1
#> 149.1  8.37      1  33        1         0
#> 158.1 20.14      1  74        1         0
#> 188   16.16      1  46        0         1
#> 86    23.81      1  58        0         1
#> 124.2  9.73      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 78.2  23.88      1  43        0         0
#> 88.1  18.37      1  47        0         0
#> 40    18.00      1  28        1         0
#> 106.1 16.67      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 125.1 15.65      1  67        1         0
#> 6     15.64      1  39        0         0
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 8.1   18.43      1  32        0         0
#> 181.1 16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 107.1 11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 29    15.45      1  68        1         0
#> 188.1 16.16      1  46        0         1
#> 37    12.52      1  57        1         0
#> 91     5.33      1  61        0         1
#> 88.2  18.37      1  47        0         0
#> 42.2  12.43      1  49        0         1
#> 14.1  12.89      1  21        0         0
#> 89.2  11.44      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 40.1  18.00      1  28        1         0
#> 181.2 16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 175   21.91      1  43        0         0
#> 97    19.14      1  65        0         1
#> 124.3  9.73      1  NA        1         0
#> 89.3  11.44      1  NA        0         0
#> 164.1 23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 43    12.10      1  61        0         1
#> 69.1  23.23      1  25        0         1
#> 194   22.40      1  38        0         1
#> 145   10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 179   18.63      1  42        0         0
#> 88.3  18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 164.2 23.60      1  76        0         1
#> 30    17.43      1  78        0         0
#> 139.1 21.49      1  63        1         0
#> 10.1  10.53      1  34        0         0
#> 8.2   18.43      1  32        0         0
#> 45    17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 130   16.47      1  53        0         1
#> 69.2  23.23      1  25        0         1
#> 6.2   15.64      1  39        0         0
#> 124.4  9.73      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 36    21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 76.1  19.22      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 93    10.33      1  52        0         1
#> 179.2 18.63      1  42        0         0
#> 92    22.92      1  47        0         1
#> 171   16.57      1  41        0         1
#> 149.2  8.37      1  33        1         0
#> 37.2  12.52      1  57        1         0
#> 124.5  9.73      1  NA        1         0
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 156   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 198   24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 33.2  24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 53.1  24.00      0  32        0         1
#> 116   24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 34.1  24.00      0  36        0         0
#> 146.1 24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 3.1   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 102   24.00      0  49        0         0
#> 193.1 24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 53.2  24.00      0  32        0         1
#> 200.1 24.00      0  64        0         0
#> 12    24.00      0  63        0         0
#> 17.1  24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 104.1 24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 20.2  24.00      0  46        1         0
#> 119.1 24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 2.1   24.00      0   9        0         0
#> 120.1 24.00      0  68        0         1
#> 53.3  24.00      0  32        0         1
#> 178.1 24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 160.1 24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 83.1  24.00      0   6        0         0
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 53.4  24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 34.2  24.00      0  36        0         0
#> 152.2 24.00      0  36        0         1
#> 178.2 24.00      0  52        1         0
#> 193.2 24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.743         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model      0.125         NA        NA      NA
#> 4 grade_iii, Cure model     0.680         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0110        NA        NA      NA
#> 2 grade_ii, Survival model    0.812         NA        NA      NA
#> 3 grade_iii, Survival model   0.344         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74324           0.01235           0.12514           0.67971  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    252 
#> Residual Deviance: 246.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74324006       0.01234911       0.12514018       0.67971149 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01098758       0.81188522       0.34440196 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.431823834 0.714228359 0.239740458 0.210484260 0.943319001 0.679869800
#>   [7] 0.804829461 0.220383503 0.862308199 0.770836256 0.343088907 0.003505756
#>  [13] 0.873822479 0.150690356 0.954917527 0.908525827 0.003505756 0.311108469
#>  [19] 0.908525827 0.588738314 0.656882938 0.679869800 0.543451047 0.025547528
#>  [25] 0.954917527 0.220383503 0.566169912 0.017432755 0.465588871 0.510131208
#>  [31] 0.003505756 0.343088907 0.398805125 0.465588871 0.770836256 0.588738314
#>  [37] 0.611238986 0.816403712 0.839489483 0.050109798 0.311108469 0.510131208
#>  [43] 0.387234892 0.839489483 0.200385839 0.160932824 0.420786265 0.645327712
#>  [49] 0.566169912 0.737105544 0.988604562 0.343088907 0.770836256 0.714228359
#>  [55] 0.092901736 0.668374586 0.398805125 0.510131208 0.554838880 0.140409591
#>  [61] 0.269763998 0.025547528 0.101912788 0.611238986 0.827924221 0.050109798
#>  [67] 0.130404856 0.931682662 0.702772925 0.280075606 0.343088907 0.111263022
#>  [73] 0.025547528 0.442949319 0.160932824 0.873822479 0.311108469 0.454238008
#>  [79] 0.280075606 0.180463318 0.083333184 0.498878584 0.050109798 0.611238986
#>  [85] 0.111263022 0.190380949 0.249766686 0.249766686 0.737105544 0.896887578
#>  [91] 0.280075606 0.074096043 0.487679457 0.954917527 0.737105544 0.000000000
#>  [97] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000
#> 
#> $Time
#>   110    14    58   190   101    57    56   158   159    42    88    78    10 
#> 17.56 12.89 19.34 20.81  9.97 14.46 12.21 20.14 10.55 12.43 18.37 23.88 10.53 
#>   197   149    61  78.1     8  61.1   125    18  57.1     5   164 149.1 158.1 
#> 21.60  8.37 10.12 23.88 18.43 10.12 15.65 15.21 14.46 16.43 23.60  8.37 20.14 
#>   188    86   106   181  78.2  88.1    40 106.1  42.1 125.1     6    49   107 
#> 16.16 23.81 16.67 16.46 23.88 18.37 18.00 16.67 12.43 15.65 15.64 12.19 11.18 
#>    69   8.1 181.1   108 107.1    90   139   134    29 188.1    37    91  88.2 
#> 23.23 18.43 16.46 18.29 11.18 20.94 21.49 17.81 15.45 16.16 12.52  5.33 18.37 
#>  42.2  14.1    63    96  40.1 181.2    79   175    97 164.1    15   6.1    43 
#> 12.43 12.89 22.77 14.54 18.00 16.46 16.23 21.91 19.14 23.60 22.68 15.64 12.10 
#>  69.1   194   145    60   179  88.3   169 164.2    30 139.1  10.1   8.2    45 
#> 23.23 22.40 10.07 13.15 18.63 18.37 22.41 23.60 17.43 21.49 10.53 18.43 17.42 
#> 179.1   153   113   130  69.2   6.2 169.1    36    76  76.1  37.1    93 179.2 
#> 18.63 21.33 22.86 16.47 23.23 15.64 22.41 21.19 19.22 19.22 12.52 10.33 18.63 
#>    92   171 149.2  37.2   182   152    53    71   132   193   121    62   148 
#> 22.92 16.57  8.37 12.52 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    34   146   122    33    82 152.1     3  33.1    20   173    44   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   198    48  33.2    28   138   119   178   160   104  20.1  53.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    64    46     7    17   112   120   200  34.1 146.1  28.1   3.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 193.1     2   147  53.2 200.1    12  17.1    98 104.1   165   118    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2 119.1    74    80   186   2.1 120.1  53.3 178.1  71.1    11 160.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1   151 162.1    95  53.4   103    38    67   172  34.2 152.2 178.2 193.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007542283               0.505840778               0.275441786 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.652251868             0.005142588             0.637485440 
#>   grade_iii, Cure model 
#>             0.991689600 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 41.1  18.02      1  40        1         0
#> 77     7.27      1  67        0         1
#> 45    17.42      1  54        0         1
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 25     6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 32    20.90      1  37        1         0
#> 110   17.56      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 77.2   7.27      1  67        0         1
#> 88    18.37      1  47        0         0
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 89.1  11.44      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 113   22.86      1  34        0         0
#> 179   18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 145   10.07      1  65        1         0
#> 96    14.54      1  33        0         1
#> 154.1 12.63      1  20        1         0
#> 60    13.15      1  38        1         0
#> 18    15.21      1  49        1         0
#> 45.1  17.42      1  54        0         1
#> 111   17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 197   21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 15    22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 130   16.47      1  53        0         1
#> 134   17.81      1  47        1         0
#> 52    10.42      1  52        0         1
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 157   15.10      1  47        0         0
#> 171   16.57      1  41        0         1
#> 129.1 23.41      1  53        1         0
#> 89.2  11.44      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 60.1  13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 195   11.76      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 197.1 21.60      1  69        1         0
#> 145.1 10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 57.1  14.46      1  45        0         1
#> 195.1 11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 8.1   18.43      1  32        0         0
#> 153.1 21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 100   16.07      1  60        0         0
#> 153.2 21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 30    17.43      1  78        0         0
#> 50.1  10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 101.1  9.97      1  10        0         1
#> 32.1  20.90      1  37        1         0
#> 187.1  9.92      1  39        1         0
#> 107.1 11.18      1  54        1         0
#> 105.1 19.75      1  60        0         0
#> 187.2  9.92      1  39        1         0
#> 68.1  20.62      1  44        0         0
#> 164   23.60      1  76        0         1
#> 25.2   6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 88.1  18.37      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 171.1 16.57      1  41        0         1
#> 13.1  14.34      1  54        0         1
#> 57.2  14.46      1  45        0         1
#> 49.1  12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 49.2  12.19      1  48        1         0
#> 43.1  12.10      1  61        0         1
#> 15.1  22.68      1  48        0         0
#> 69.1  23.23      1  25        0         1
#> 158   20.14      1  74        1         0
#> 134.1 17.81      1  47        1         0
#> 136   21.83      1  43        0         1
#> 29.1  15.45      1  68        1         0
#> 167.1 15.55      1  56        1         0
#> 77.3   7.27      1  67        0         1
#> 147   24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 176   24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 186   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 3.2   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 198   24.00      0  66        0         1
#> 3.3   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 47.1  24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 98    24.00      0  34        1         0
#> 34.1  24.00      0  36        0         0
#> 47.2  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 186.1 24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 147.1 24.00      0  76        1         0
#> 115   24.00      0  NA        1         0
#> 137.1 24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 147.2 24.00      0  76        1         0
#> 64    24.00      0  43        0         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 82.2  24.00      0  34        0         0
#> 151.1 24.00      0  42        0         0
#> 64.1  24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 73    24.00      0  NA        0         1
#> 115.1 24.00      0  NA        1         0
#> 138.1 24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 38.1  24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 71.1  24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 9.2   24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 34.2  24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.652          NA        NA      NA
#> 2 age, Cure model          0.00514        NA        NA      NA
#> 3 grade_ii, Cure model     0.637          NA        NA      NA
#> 4 grade_iii, Cure model    0.992          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00754        NA        NA      NA
#> 2 grade_ii, Survival model   0.506          NA        NA      NA
#> 3 grade_iii, Survival model  0.275          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.652252          0.005143          0.637485          0.991690  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 248.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.652251868      0.005142588      0.637485440      0.991689600 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007542283      0.505840778      0.275441786 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.211414985 0.330147855 0.330147855 0.919468235 0.401208381 0.714514160
#>   [7] 0.202000209 0.269457036 0.556986548 0.609451627 0.959745556 0.919468235
#>  [13] 0.693838190 0.048521656 0.147871005 0.370410376 0.919468235 0.309638200
#>  [19] 0.230428632 0.959745556 0.289526483 0.057208584 0.279442829 0.672896331
#>  [25] 0.494452626 0.578164989 0.838131148 0.724916078 0.817527848 0.567578423
#>  [31] 0.693838190 0.641278417 0.536002769 0.401208381 0.380622272 0.786575554
#>  [37] 0.094100266 0.016764580 0.066206689 0.452833184 0.442380215 0.350373433
#>  [43] 0.807156341 0.112566853 0.183456411 0.909322032 0.546464595 0.421777509
#>  [49] 0.016764580 0.735331424 0.641278417 0.515224705 0.630582213 0.858622938
#>  [55] 0.138545234 0.452833184 0.094100266 0.817527848 0.032900921 0.578164989
#>  [61] 0.989845163 0.888922430 0.289526483 0.112566853 0.240159722 0.165392822
#>  [67] 0.483916273 0.112566853 0.765938873 0.390855049 0.249992382 0.838131148
#>  [73] 0.147871005 0.858622938 0.786575554 0.211414985 0.858622938 0.165392822
#>  [79] 0.004359747 0.959745556 0.473462772 0.249992382 0.309638200 0.672896331
#>  [85] 0.421777509 0.609451627 0.578164989 0.735331424 0.662321858 0.899139180
#>  [91] 0.735331424 0.765938873 0.066206689 0.032900921 0.192716906 0.350373433
#>  [97] 0.084398775 0.515224705 0.494452626 0.919468235 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   105    41  41.1    77    45    37   166    97   133    13    25  77.1   154 
#> 19.75 18.02 18.02  7.27 17.42 12.52 19.98 19.14 14.65 14.34  6.32  7.27 12.63 
#>    92    32   110  77.2    88   170  25.1     8   113   179   140   167    57 
#> 22.92 20.90 17.56  7.27 18.37 19.54  6.32 18.43 22.86 18.63 12.68 15.55 14.46 
#>   101    42   145    96 154.1    60    18  45.1   111   107   197   129    15 
#>  9.97 12.43 10.07 14.54 12.63 13.15 15.21 17.42 17.45 11.18 21.60 23.41 22.68 
#>    85   130   134    52   153   128    70   157   171 129.1    49  60.1    29 
#> 16.44 16.47 17.81 10.42 21.33 20.35  7.38 15.10 16.57 23.41 12.19 13.15 15.45 
#>    81   187    90   192 197.1 145.1    69  57.1   127   183   8.1 153.1    58 
#> 14.06  9.92 20.94 16.44 21.60 10.07 23.23 14.46  3.53  9.24 18.43 21.33 19.34 
#>    68   100 153.2    43    30    76 101.1  32.1 187.1 107.1 105.1 187.2  68.1 
#> 20.62 16.07 21.33 12.10 17.43 19.22  9.97 20.90  9.92 11.18 19.75  9.92 20.62 
#>   164  25.2     5  76.1  88.1 140.1 171.1  13.1  57.2  49.1   123   149  49.2 
#> 23.60  6.32 16.43 19.22 18.37 12.68 16.57 14.34 14.46 12.19 13.00  8.37 12.19 
#>  43.1  15.1  69.1   158 134.1   136  29.1 167.1  77.3   147    67   176    47 
#> 12.10 22.68 23.23 20.14 17.81 21.83 15.45 15.55  7.27 24.00 24.00 24.00 24.00 
#>     3   137   3.1    19   186   148   3.2   118    62    35    12   198   3.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    46    84  47.1   182    17   151   173   126   102   174    82    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  46.1  84.1    34    98  34.1  47.2   200 186.1 198.1   172     9   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 147.1 137.1   185 147.2    64    94     1   163   156   196    33  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1  64.1    74    38   162   135 138.1  74.1   146    27 146.1    71    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95  38.1  48.1 148.1    54  71.1   120   9.2 120.1   122    22 163.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2    53  94.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01089215                0.65143986                0.13604953 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.361621614            -0.007912597            -0.115853291 
#>   grade_iii, Cure model 
#>             0.761992223 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 99    21.19      1  38        0         1
#> 56    12.21      1  60        0         0
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 199   19.81      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 78    23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 41    18.02      1  40        1         0
#> 56.1  12.21      1  60        0         0
#> 66    22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 25     6.32      1  34        1         0
#> 23    16.92      1  61        0         0
#> 155   13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 149    8.37      1  33        1         0
#> 41.1  18.02      1  40        1         0
#> 140   12.68      1  59        1         0
#> 150   20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 124    9.73      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 175   21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 195   11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 192   16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 37.1  12.52      1  57        1         0
#> 199.1 19.81      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 26.1  15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 60    13.15      1  38        1         0
#> 127    3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 86    23.81      1  58        0         1
#> 101.1  9.97      1  10        0         1
#> 30    17.43      1  78        0         0
#> 150.1 20.33      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 69.1  23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 124.1  9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 49    12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 91.1   5.33      1  61        0         1
#> 10.1  10.53      1  34        0         0
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 192.1 16.44      1  31        1         0
#> 56.2  12.21      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 60.1  13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 199.2 19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 180   14.82      1  37        0         0
#> 14.1  12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 40.1  18.00      1  28        1         0
#> 77     7.27      1  67        0         1
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 76.1  19.22      1  54        0         1
#> 117   17.46      1  26        0         1
#> 181.1 16.46      1  45        0         1
#> 187.2  9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 39    15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 32.1  20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 187.3  9.92      1  39        1         0
#> 66.1  22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 57.1  14.46      1  45        0         1
#> 175.2 21.91      1  43        0         0
#> 69.2  23.23      1  25        0         1
#> 43.1  12.10      1  61        0         1
#> 18    15.21      1  49        1         0
#> 150.2 20.33      1  48        0         0
#> 10.2  10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 36.1  21.19      1  48        0         1
#> 5     16.43      1  51        0         1
#> 88.1  18.37      1  47        0         0
#> 90.1  20.94      1  50        0         1
#> 101.2  9.97      1  10        0         1
#> 150.3 20.33      1  48        0         0
#> 26.2  15.77      1  49        0         1
#> 37.2  12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 127.1  3.53      1  62        0         1
#> 123.1 13.00      1  44        1         0
#> 2     24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 165   24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 17    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 53.1  24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 178.1 24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 178.2 24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 174.1 24.00      0  49        1         0
#> 165.1 24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 131.1 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 116.1 24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 116.2 24.00      0  58        0         1
#> 87    24.00      0  27        0         0
#> 28.1  24.00      0  67        1         0
#> 162   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 165.2 24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 156   24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 147.1 24.00      0  76        1         0
#> 116.3 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 104.1 24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 174.2 24.00      0  49        1         0
#> 141   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 98.1  24.00      0  34        1         0
#> 141.1 24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 109.1 24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 1     24.00      0  23        1         0
#> 19.1  24.00      0  57        0         1
#> 95    24.00      0  68        0         1
#> 64.1  24.00      0  43        0         0
#> 46.1  24.00      0  71        0         0
#> 141.2 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 2.1   24.00      0   9        0         0
#> 98.2  24.00      0  34        1         0
#> 146.2 24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 156.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.362          NA        NA      NA
#> 2 age, Cure model         -0.00791        NA        NA      NA
#> 3 grade_ii, Cure model    -0.116          NA        NA      NA
#> 4 grade_iii, Cure model    0.762          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0109        NA        NA      NA
#> 2 grade_ii, Survival model    0.651         NA        NA      NA
#> 3 grade_iii, Survival model   0.136         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.361622         -0.007913         -0.115853          0.761992  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.361621614     -0.007912597     -0.115853291      0.761992223 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01089215       0.65143986       0.13604953 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.94566602 0.89171849 0.38571101 0.87114487 0.98232311 0.52912606
#>   [7] 0.94566602 0.15636573 0.75493857 0.55796163 0.53904310 0.68038665
#>  [13] 0.06405064 0.85543001 0.59427472 0.87114487 0.29000382 0.79799100
#>  [19] 0.97781904 0.65042040 0.81576905 0.70855444 0.96870716 0.59427472
#>  [25] 0.84431720 0.47931594 0.45777613 0.75493857 0.32487227 0.83299798
#>  [31] 0.65807462 0.68038665 0.90675627 0.93126356 0.85543001 0.38571101
#>  [37] 0.70855444 0.24916237 0.80404369 0.99121085 0.37141371 0.11978525
#>  [43] 0.93126356 0.63483972 0.47931594 0.38571101 0.27008431 0.15636573
#>  [49] 0.78589054 0.43415842 0.84989655 0.88660255 0.90177982 0.98232311
#>  [55] 0.90675627 0.56729099 0.96409852 0.68038665 0.87114487 0.32487227
#>  [61] 0.58540143 0.80404369 0.66563729 0.77973401 0.61091913 0.76738599
#>  [67] 0.83299798 0.92149566 0.61091913 0.97327778 0.51903458 0.76738599
#>  [73] 0.53904310 0.62686738 0.66563729 0.94566602 0.92641686 0.73555929
#>  [79] 0.64268025 0.45777613 0.22478773 0.94566602 0.29000382 0.74217600
#>  [85] 0.78589054 0.32487227 0.15636573 0.89171849 0.74861905 0.47931594
#>  [91] 0.90675627 0.72889979 0.38571101 0.70151196 0.56729099 0.43415842
#>  [97] 0.93126356 0.47931594 0.70855444 0.85543001 0.82163909 0.99121085
#> [103] 0.82163909 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   187    43    99    56    91   105 187.1    69   157    97    76    85    78 
#>  9.92 12.10 21.19 12.21  5.33 19.75  9.92 23.23 15.10 19.14 19.22 16.44 23.88 
#>    37    41  56.1    66    81    25    23   155    26   149  41.1   140   150 
#> 12.52 18.02 12.21 22.13 14.06  6.32 16.92 13.08 15.77  8.37 18.02 12.68 20.33 
#>    32 157.1   175    14   130   192    10   101  37.1    36  26.1    63    60 
#> 20.90 15.10 21.91 12.89 16.47 16.44 10.53  9.97 12.52 21.19 15.77 22.77 13.15 
#>   127   197    86 101.1    30 150.1  99.1   169  69.1    57    90   177    49 
#>  3.53 21.60 23.81  9.97 17.43 20.33 21.19 22.41 23.23 14.46 20.94 12.53 12.19 
#>   107  91.1  10.1    88    16 192.1  56.2 175.1    51  60.1   181   133    40 
#> 11.18  5.33 10.53 18.37  8.71 16.44 12.21 21.91 18.23 13.15 16.46 14.65 18.00 
#>   180  14.1    61  40.1    77   166 180.1  76.1   117 181.1 187.2   145    39 
#> 14.82 12.89 10.12 18.00  7.27 19.98 14.82 19.22 17.46 16.46  9.92 10.07 15.59 
#>    45  32.1   113 187.3  66.1    29  57.1 175.2  69.2  43.1    18 150.2  10.2 
#> 17.42 20.90 22.86  9.92 22.13 15.45 14.46 21.91 23.23 12.10 15.21 20.33 10.53 
#>   125  36.1     5  88.1  90.1 101.2 150.3  26.2  37.2   123 127.1 123.1     2 
#> 15.65 21.19 16.43 18.37 20.94  9.97 20.33 15.77 12.52 13.00  3.53 13.00 24.00 
#>   176   152   178   112   126    31    44   186   116    98    72    64     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   161   131    46    53   165 152.1    47    17   174  53.1   122   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   182 178.1    20 178.2    54   104    28 174.1 165.1    34 131.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 116.1   160    67   151   146 116.2    87  28.1   162   147 165.2    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  34.1 147.1 116.3    12   135 160.1   102 104.1   109   142 174.2   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1  98.1 141.1   185    19 109.1   172 146.1     1  19.1    95  64.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2  67.1   200   2.1  98.2 146.2  82.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004163152               0.695691677               0.380797532 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05487093              0.01884412              0.25187602 
#>   grade_iii, Cure model 
#>              0.89070539 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 127    3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 78    23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 180   14.82      1  37        0         0
#> 188   16.16      1  46        0         1
#> 125   15.65      1  67        1         0
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 177   12.53      1  75        0         0
#> 15    22.68      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 60    13.15      1  38        1         0
#> 127.1  3.53      1  62        0         1
#> 157   15.10      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 59.1  10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 164.2 23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 66.1  22.13      1  53        0         0
#> 51.2  18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 177.1 12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 50    10.02      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 184   17.77      1  38        0         0
#> 58.2  19.34      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 66.2  22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 127.2  3.53      1  62        0         1
#> 97.1  19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 15.1  22.68      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 158   20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 150   20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 170.1 19.54      1  43        0         1
#> 90    20.94      1  50        0         1
#> 114.1 13.68      1  NA        0         0
#> 171.1 16.57      1  41        0         1
#> 157.1 15.10      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 76    19.22      1  54        0         1
#> 49    12.19      1  48        1         0
#> 124    9.73      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 96    14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 105.2 19.75      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 107.1 11.18      1  54        1         0
#> 81    14.06      1  34        0         0
#> 8.2   18.43      1  32        0         0
#> 123.1 13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 134.2 17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 181.1 16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 171.2 16.57      1  41        0         1
#> 149.1  8.37      1  33        1         0
#> 8.3   18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 43.2  12.10      1  61        0         1
#> 40.1  18.00      1  28        1         0
#> 184.2 17.77      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 136.1 21.83      1  43        0         1
#> 149.2  8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 173   24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 178   24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 138   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 98.1  24.00      0  34        1         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 83.1  24.00      0   6        0         0
#> 172.1 24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 115.2 24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 200.1 24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 83.2  24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 162.1 24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 200.2 24.00      0  64        0         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 112.1 24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 12    24.00      0  63        0         0
#> 94.1  24.00      0  51        0         1
#> 17.1  24.00      0  38        0         1
#> 72.1  24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 35.1  24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 64.1  24.00      0  43        0         0
#> 102.1 24.00      0  49        0         0
#> 19.1  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 176.1 24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 11    24.00      0  42        0         1
#> 116.1 24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 87.1  24.00      0  27        0         0
#> 200.3 24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 176.2 24.00      0  43        0         1
#> 162.2 24.00      0  51        0         0
#> 87.2  24.00      0  27        0         0
#> 165.1 24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 102.2 24.00      0  49        0         0
#> 21.1  24.00      0  47        0         0
#> 141.1 24.00      0  44        1         0
#> 94.2  24.00      0  51        0         1
#> 112.2 24.00      0  61        0         0
#> 165.2 24.00      0  47        0         0
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0188        NA        NA      NA
#> 3 grade_ii, Cure model      0.252         NA        NA      NA
#> 4 grade_iii, Cure model     0.891         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00416        NA        NA      NA
#> 2 grade_ii, Survival model   0.696          NA        NA      NA
#> 3 grade_iii, Survival model  0.381          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05487           0.01884           0.25188           0.89071  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 247.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05487093       0.01884412       0.25187602       0.89070539 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004163152      0.695691677      0.380797532 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.95015040 0.97519737 0.80381330 0.70521915 0.25347474 0.01091042
#>   [7] 0.26370147 0.26370147 0.31417738 0.74993409 0.66913515 0.68737074
#>  [13] 0.44288584 0.44288584 0.58636376 0.50239949 0.39296130 0.03608067
#>  [19] 0.11305756 0.82128531 0.09083769 0.50239949 0.14660349 0.48305259
#>  [25] 0.79489886 0.97519737 0.73207912 0.03608067 0.16912878 0.40315318
#>  [31] 0.31417738 0.03608067 0.92519330 0.11305756 0.44288584 0.91662391
#>  [37] 0.82128531 0.84763094 0.21228979 0.64174906 0.37292417 0.67826480
#>  [43] 0.59579850 0.53011091 0.31417738 0.70521915 0.95015040 0.55803622
#>  [49] 0.31417738 0.65997948 0.11305756 0.47296002 0.97519737 0.37292417
#>  [55] 0.18037341 0.96683073 0.09083769 0.84763094 0.06679005 0.40315318
#>  [61] 0.24332225 0.87357176 0.23296526 0.89074688 0.29395834 0.90801291
#>  [67] 0.29395834 0.20152835 0.59579850 0.73207912 0.89938729 0.18037341
#>  [73] 0.36270256 0.83885760 0.53011091 0.76794997 0.62335590 0.26370147
#>  [79] 0.01091042 0.87357176 0.78591271 0.40315318 0.80381330 0.56748572
#>  [85] 0.68737074 0.64174906 0.50239949 0.77694010 0.62335590 0.07950165
#>  [91] 0.22269105 0.75893073 0.59579850 0.92519330 0.40315318 0.72313554
#>  [97] 0.84763094 0.48305259 0.53011091 0.31417738 0.14660349 0.92519330
#> [103] 0.57690333 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    77   127   123     6   166    78   105 105.1    58   180   188   125    51 
#>  7.27  3.53 13.00 15.64 19.98 23.88 19.75 19.75 19.34 14.82 16.16 15.65 18.23 
#>  51.1    45   134   179   164    66   177    15 134.1   136    40    60 127.1 
#> 18.23 17.42 17.81 18.63 23.60 22.13 12.53 22.68 17.81 21.83 18.00 13.15  3.53 
#>   157 164.1   139     8  58.1 164.2   149  66.1  51.2   183 177.1    43   190 
#> 15.10 23.60 21.49 18.43 19.34 23.60  8.37 22.13 18.23  9.24 12.53 12.10 20.81 
#>    85    97    26   171   184  58.2   6.1  77.1   110    55     5  66.2    41 
#> 16.44 19.14 15.77 16.57 17.77 19.34 15.64  7.27 17.56 19.34 16.43 22.13 18.02 
#> 127.2  97.1    99    91  15.1  43.1   113   8.1   158   107   150    10   170 
#>  3.53 19.14 21.19  5.33 22.68 12.10 22.86 18.43 20.14 11.18 20.33 10.53 19.54 
#>    93 170.1    90 171.1 157.1    52  99.1    76    49 184.1    96   181 105.2 
#> 10.33 19.54 20.94 16.57 15.10 10.42 21.19 19.22 12.19 17.77 14.54 16.46 19.75 
#>  78.1 107.1    81   8.2 123.1   111 125.1   192 134.2    13 181.1    63   128 
#> 23.88 11.18 14.06 18.43 13.00 17.45 15.65 16.44 17.81 14.34 16.46 22.77 20.35 
#>   133 171.2 149.1   8.3    18  43.2  40.1 184.2  55.1 136.1 149.2    30   173 
#> 14.65 16.57  8.37 18.43 15.21 12.10 18.00 17.77 19.34 21.83  8.37 17.43 24.00 
#>   112   178    33    98   176   138   142   162    83    17   186  98.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65     1   172    38   174  83.1 172.1   143   200     3   151    72   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1     7  83.2   198   102   185   141   103 162.1    94   148 200.2   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 112.1   116    19    12  94.1  17.1  72.1    82    75    46    80    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1   165  64.1 102.1  19.1    53 176.1   163    48   118 142.1    87 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 116.1  53.1  87.1 200.3    21 176.2 162.2  87.2 165.1    62  33.1 102.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 141.1  94.2 112.2 165.2 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006334644               0.628514243               0.392262710 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.306537603             0.007235933            -0.135207641 
#>   grade_iii, Cure model 
#>             0.547059076 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 145   10.07      1  65        1         0
#> 155   13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 77.1   7.27      1  67        0         1
#> 50    10.02      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 168   23.72      1  70        0         0
#> 49    12.19      1  48        1         0
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 60.1  13.15      1  38        1         0
#> 25.1   6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 139   21.49      1  63        1         0
#> 58.1  19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 10    10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 70     7.38      1  30        1         0
#> 96    14.54      1  33        0         1
#> 49.1  12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 37.1  12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 181.1 16.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 96.1  14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 150   20.33      1  48        0         0
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 36    21.19      1  48        0         1
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 170   19.54      1  43        0         1
#> 110   17.56      1  65        0         1
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 100   16.07      1  60        0         0
#> 58.2  19.34      1  39        0         0
#> 129.1 23.41      1  53        1         0
#> 4.1   17.64      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 91     5.33      1  61        0         1
#> 168.1 23.72      1  70        0         0
#> 179.1 18.63      1  42        0         0
#> 199.1 19.81      1  NA        0         1
#> 194.1 22.40      1  38        0         1
#> 5     16.43      1  51        0         1
#> 50.1  10.02      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 68.1  20.62      1  44        0         0
#> 43.2  12.10      1  61        0         1
#> 8     18.43      1  32        0         0
#> 58.3  19.34      1  39        0         0
#> 36.1  21.19      1  48        0         1
#> 117   17.46      1  26        0         1
#> 45.1  17.42      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 36.2  21.19      1  48        0         1
#> 179.2 18.63      1  42        0         0
#> 40    18.00      1  28        1         0
#> 5.1   16.43      1  51        0         1
#> 139.1 21.49      1  63        1         0
#> 16     8.71      1  71        0         1
#> 155.1 13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 50.2  10.02      1  NA        1         0
#> 60.2  13.15      1  38        1         0
#> 150.1 20.33      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 150.2 20.33      1  48        0         0
#> 149.1  8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 18    15.21      1  49        1         0
#> 40.1  18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 141   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 48.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 141.1 24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 156.1 24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 21.1  24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 191.2 24.00      0  60        0         1
#> 87    24.00      0  27        0         0
#> 174.1 24.00      0  49        1         0
#> 162   24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 33.2  24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 9.1   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 178.1 24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 17.1  24.00      0  38        0         1
#> 120.1 24.00      0  68        0         1
#> 31.2  24.00      0  36        0         1
#> 156.2 24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 48.2  24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 115   24.00      0  NA        1         0
#> 22.1  24.00      0  52        1         0
#> 48.3  24.00      0  31        1         0
#> 21.3  24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 17.2  24.00      0  38        0         1
#> 47.2  24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 185.1 24.00      0  44        1         0
#> 185.2 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 141.2 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 143.2 24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 152.1 24.00      0  36        0         1
#> 44.2  24.00      0  56        0         0
#> 118.1 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.307          NA        NA      NA
#> 2 age, Cure model          0.00724        NA        NA      NA
#> 3 grade_ii, Cure model    -0.135          NA        NA      NA
#> 4 grade_iii, Cure model    0.547          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00633        NA        NA      NA
#> 2 grade_ii, Survival model   0.629          NA        NA      NA
#> 3 grade_iii, Survival model  0.392          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.306538          0.007236         -0.135208          0.547059  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.306537603      0.007235933     -0.135207641      0.547059076 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006334644      0.628514243      0.392262710 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.945064306 0.251741658 0.177261971 0.232840628 0.717737324 0.990845566
#>   [7] 0.289763053 0.470556366 0.879787453 0.688462299 0.963466766 0.860771427
#>  [13] 0.945064306 0.659602287 0.137061181 0.319339824 0.034130503 0.794646038
#>  [19] 0.378597873 0.520546609 0.659602287 0.963466766 0.023052400 0.006200756
#>  [25] 0.092952157 0.717737324 0.157490070 0.319339824 0.756433205 0.851253222
#>  [31] 0.889267309 0.609883640 0.580036083 0.057519222 0.935823571 0.629819191
#>  [37] 0.794646038 0.737080348 0.756433205 0.775559686 0.126161562 0.889267309
#>  [43] 0.520546609 0.500735607 0.440022875 0.629819191 0.187254847 0.261308515
#>  [49] 0.419178669 0.071008146 0.187254847 0.104287744 0.115503770 0.841755595
#>  [55] 0.609883640 0.309400797 0.480630927 0.599932478 0.870282809 0.368444011
#>  [61] 0.813558319 0.813558319 0.540272757 0.570017454 0.319339824 0.071008146
#>  [67] 0.649628724 0.358295563 0.981691175 0.034130503 0.378597873 0.137061181
#>  [73] 0.550265090 0.775559686 0.707922499 0.232840628 0.813558319 0.408803376
#>  [79] 0.319339824 0.187254847 0.490709573 0.500735607 0.289763053 0.917333367
#>  [85] 0.187254847 0.378597873 0.450456066 0.550265090 0.157490070 0.907942055
#>  [91] 0.688462299 0.223381264 0.659602287 0.261308515 0.006200756 0.261308515
#>  [97] 0.917333367 0.429620521 0.590015689 0.450456066 0.746733066 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    77   128   153    68   140   127   166   134   145   155    25    52  77.1 
#>  7.27 20.35 21.33 20.62 12.68  3.53 19.98 17.81 10.07 13.08  6.32 10.42  7.27 
#>    60   194    58   168    49   179   181  60.1  25.1    86    78    69 140.1 
#> 13.15 22.40 19.34 23.72 12.19 18.63 16.46 13.15  6.32 23.81 23.88 23.23 12.68 
#>   139  58.1    37    10   187   133   125   164    70    96  49.1   154  37.1 
#> 21.49 19.34 12.52 10.53  9.92 14.65 15.65 23.60  7.38 14.54 12.19 12.63 12.52 
#>    42    15 187.1 181.1    45    51  96.1    99   150    88   129    36    92 
#> 12.43 22.68  9.92 16.46 17.42 18.23 14.54 21.19 20.33 18.37 23.41 21.19 22.92 
#>    63   159 133.1   170   110   180    93    97    43  43.1    85   100  58.2 
#> 22.77 10.55 14.65 19.54 17.56 14.82 10.33 19.14 12.10 12.10 16.44 16.07 19.34 
#> 129.1    13    76    91 168.1 179.1 194.1     5  42.1    14  68.1  43.2     8 
#> 23.41 14.34 19.22  5.33 23.72 18.63 22.40 16.43 12.43 12.89 20.62 12.10 18.43 
#>  58.3  36.1   117  45.1 166.1   149  36.2 179.2    40   5.1 139.1    16 155.1 
#> 19.34 21.19 17.46 17.42 19.98  8.37 21.19 18.63 18.00 16.43 21.49  8.71 13.08 
#>   190  60.2 150.1  78.1 150.2 149.1   108    18  40.1   177   161   156   185 
#> 20.81 13.15 20.33 23.88 20.33  8.37 18.29 15.21 18.00 12.53 24.00 24.00 24.00 
#>   112    17    31    22     9   174   141    21   172     2    11    33   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109     1   118   147    48   191  48.1    75    74   120   186    47   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 141.1  75.1   143   137 191.1 156.1    94  21.1   178 191.2    87 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162  47.1  33.1  31.1  33.2    44   9.1    72 178.1    62  17.1 120.1  31.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2   116  48.2  21.2   122 143.1 161.1  22.1  48.3  21.3 112.1  17.2  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    19 185.1 185.2    27  44.1   160    12    65   151 141.2     7 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 152.1  44.2 118.1   7.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01221415                0.23371902                0.09989443 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.77416021              0.02809218              0.56343881 
#>   grade_iii, Cure model 
#>              1.40261192 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 66    22.13      1  53        0         0
#> 63    22.77      1  31        1         0
#> 154.1 12.63      1  20        1         0
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 139.1 21.49      1  63        1         0
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 42    12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 50.1  10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 187    9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 157.1 15.10      1  47        0         0
#> 136   21.83      1  43        0         1
#> 32    20.90      1  37        1         0
#> 110.1 17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 8     18.43      1  32        0         0
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 15    22.68      1  48        0         0
#> 79    16.23      1  54        1         0
#> 96.1  14.54      1  33        0         1
#> 125.1 15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 192   16.44      1  31        1         0
#> 107   11.18      1  54        1         0
#> 45    17.42      1  54        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 86    23.81      1  58        0         1
#> 136.1 21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 100.1 16.07      1  60        0         0
#> 123   13.00      1  44        1         0
#> 145.1 10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 154.2 12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 55.1  19.34      1  69        0         1
#> 117   17.46      1  26        0         1
#> 99.1  21.19      1  38        0         1
#> 5.1   16.43      1  51        0         1
#> 8.1   18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 107.1 11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 8.2   18.43      1  32        0         0
#> 79.1  16.23      1  54        1         0
#> 36.1  21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 56.1  12.21      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 189   10.51      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 114.1 13.68      1  NA        0         0
#> 139.2 21.49      1  63        1         0
#> 101.1  9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 166.1 19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 101.2  9.97      1  10        0         1
#> 77     7.27      1  67        0         1
#> 110.2 17.56      1  65        0         1
#> 51    18.23      1  83        0         1
#> 166.2 19.98      1  48        0         0
#> 159   10.55      1  50        0         1
#> 79.2  16.23      1  54        1         0
#> 188.1 16.16      1  46        0         1
#> 18.1  15.21      1  49        1         0
#> 25     6.32      1  34        1         0
#> 30.1  17.43      1  78        0         0
#> 43.1  12.10      1  61        0         1
#> 50.2  10.02      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 170   19.54      1  43        0         1
#> 190.1 20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 65    24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 75    24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 75.1  24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 74    24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 146.1 24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 193   24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 160.1 24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 126   24.00      0  48        0         0
#> 191.1 24.00      0  60        0         1
#> 73    24.00      0  NA        0         1
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 119.1 24.00      0  17        0         0
#> 21.1  24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 3     24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 31.1  24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 162.2 24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 17.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 148.1 24.00      0  61        1         0
#> 7     24.00      0  37        1         0
#> 83    24.00      0   6        0         0
#> 142.2 24.00      0  53        0         0
#> 196.1 24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 65.1  24.00      0  57        1         0
#> 165.2 24.00      0  47        0         0
#> 75.2  24.00      0  21        1         0
#> 119.2 24.00      0  17        0         0
#> 83.1  24.00      0   6        0         0
#> 119.3 24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 185   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.77          NA        NA      NA
#> 2 age, Cure model           0.0281        NA        NA      NA
#> 3 grade_ii, Cure model      0.563         NA        NA      NA
#> 4 grade_iii, Cure model     1.40          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0122        NA        NA      NA
#> 2 grade_ii, Survival model    0.234         NA        NA      NA
#> 3 grade_iii, Survival model   0.0999        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.77416           0.02809           0.56344           1.40261  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 235.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.77416021       0.02809218       0.56343881       1.40261192 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01221415       0.23371902       0.09989443 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6203490448 0.0160324049 0.0070205495 0.6203490448 0.0456479636
#>   [6] 0.1290899121 0.4044712002 0.2548363493 0.0319199551 0.0891601458
#>  [11] 0.9377758807 0.0274513634 0.0319199551 0.5016612149 0.4279883071
#>  [16] 0.0126753636 0.5666453755 0.7016572509 0.0954814171 0.5533765452
#>  [21] 0.3056209226 0.8172059257 0.6602705968 0.1148170367 0.5145180600
#>  [26] 0.7876979285 0.1591683159 0.0456479636 0.1591683159 0.0024554180
#>  [31] 0.4765950484 0.9071487244 0.2178176157 0.6739660012 0.4765950484
#>  [36] 0.0197634337 0.0656552005 0.2178176157 0.3269969439 0.1753374110
#>  [41] 0.1290899121 0.3816437257 0.0096636014 0.3486391322 0.5145180600
#>  [46] 0.4279883071 0.8321741469 0.2001092143 0.1512014250 0.3162845559
#>  [51] 0.7298780830 0.2745335310 0.0008858866 0.0830317164 0.0001410153
#>  [56] 0.0197634337 0.8623020976 0.4044712002 0.5934597245 0.8321741469
#>  [61] 0.7876979285 0.0714569644 0.6203490448 0.4520919198 0.1290899121
#>  [66] 0.2452541640 0.0456479636 0.3269969439 0.1753374110 0.2951118946
#>  [71] 0.7298780830 0.2847250536 0.1753374110 0.3486391322 0.0456479636
#>  [76] 0.7730330312 0.6739660012 0.5800206555 0.9224060289 0.0319199551
#>  [81] 0.8623020976 0.0045143153 0.0954814171 0.9843024445 0.8623020976
#>  [86] 0.9531850810 0.2178176157 0.2088509914 0.0954814171 0.7584825459
#>  [91] 0.3486391322 0.3816437257 0.4520919198 0.9687230157 0.2548363493
#>  [96] 0.7016572509 0.5934597245 0.1218810627 0.0714569644 0.5402426998
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   154    66    63 154.1    36    55   100    30   139   150   149   197 139.1 
#> 12.63 22.13 22.77 12.63 21.19 19.34 16.07 17.43 21.49 20.33  8.37 21.60 21.49 
#>   133   125   169    81    43   166    13   130    61    42   105    96    93 
#> 14.65 15.65 22.41 14.06 12.10 19.98 14.34 16.47 10.12 12.43 19.75 14.54 10.33 
#>   179    99 179.1   129   157   187   110    56 157.1   136    32 110.1     5 
#> 18.63 21.19 18.63 23.41 15.10  9.92 17.56 12.21 15.10 21.83 20.90 17.56 16.43 
#>     8    58   188    15    79  96.1 125.1   145   108    97   192   107    45 
#> 18.43 19.34 16.16 22.68 16.23 14.54 15.65 10.07 18.29 19.14 16.44 11.18 17.42 
#>   164   128    86 136.1   101 100.1   123 145.1  93.1   190 154.2    18  55.1 
#> 23.60 20.35 23.81 21.83  9.97 16.07 13.00 10.07 10.33 20.81 12.63 15.21 19.34 
#>   117  99.1   5.1   8.1   171 107.1    23   8.2  79.1  36.1    52  56.1    60 
#> 17.46 21.19 16.43 18.43 16.57 11.18 16.92 18.43 16.23 21.19 10.42 12.21 13.15 
#>   183 139.2 101.1    92 166.1    91 101.2    77 110.2    51 166.2   159  79.2 
#>  9.24 21.49  9.97 22.92 19.98  5.33  9.97  7.27 17.56 18.23 19.98 10.55 16.23 
#> 188.1  18.1    25  30.1  43.1 123.1   170 190.1    57    65   138    94   173 
#> 16.16 15.21  6.32 17.43 12.10 13.00 19.54 20.81 14.46 24.00 24.00 24.00 24.00 
#>    46   176   143   160   148    75  94.1  75.1   191   146   118   165    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   161    74   152  71.1    21 165.1    98 146.1   119   102   193    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   137   162   163 160.1   186   116   126 191.1   178    35   104   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172    84 119.1  21.1 142.1  98.1     3    12  31.1    17     2 162.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1 173.1 162.2   196  17.1    48   112 148.1     7    83 142.2 196.1   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1 165.2  75.2 119.2  83.1 119.3   147   182   185  48.1 143.1   3.1  48.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1    44   144    62 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003012146               0.546254070               0.576654308 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.395158286             0.009543584            -0.049728746 
#>   grade_iii, Cure model 
#>             0.653377061 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 117   17.46      1  26        0         1
#> 100   16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 145   10.07      1  65        1         0
#> 167   15.55      1  56        1         0
#> 6.1   15.64      1  39        0         0
#> 155   13.08      1  26        0         0
#> 63    22.77      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 49    12.19      1  48        1         0
#> 184.1 17.77      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 159   10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 177   12.53      1  75        0         0
#> 190.1 20.81      1  42        1         0
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 195.1 11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 168   23.72      1  70        0         0
#> 134.1 17.81      1  47        1         0
#> 50.1  10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 180   14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 113   22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 101    9.97      1  10        0         1
#> 127    3.53      1  62        0         1
#> 93.1  10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 40    18.00      1  28        1         0
#> 128   20.35      1  35        0         1
#> 5     16.43      1  51        0         1
#> 128.1 20.35      1  35        0         1
#> 42.1  12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 106.1 16.67      1  49        1         0
#> 6.2   15.64      1  39        0         0
#> 90    20.94      1  50        0         1
#> 184.2 17.77      1  38        0         0
#> 29.1  15.45      1  68        1         0
#> 24    23.89      1  38        0         0
#> 101.1  9.97      1  10        0         1
#> 134.2 17.81      1  47        1         0
#> 187    9.92      1  39        1         0
#> 88.1  18.37      1  47        0         0
#> 170.1 19.54      1  43        0         1
#> 37    12.52      1  57        1         0
#> 90.1  20.94      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 155.1 13.08      1  26        0         0
#> 18    15.21      1  49        1         0
#> 113.1 22.86      1  34        0         0
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 113.2 22.86      1  34        0         0
#> 63.2  22.77      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 43.2  12.10      1  61        0         1
#> 111   17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 153.2 21.33      1  55        1         0
#> 150   20.33      1  48        0         0
#> 16     8.71      1  71        0         1
#> 117.1 17.46      1  26        0         1
#> 81    14.06      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 157.1 15.10      1  47        0         0
#> 127.1  3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 181.2 16.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 168.1 23.72      1  70        0         0
#> 155.2 13.08      1  26        0         0
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 45.1  17.42      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 133   14.65      1  57        0         0
#> 164   23.60      1  76        0         1
#> 101.2  9.97      1  10        0         1
#> 4     17.64      1  NA        0         1
#> 187.1  9.92      1  39        1         0
#> 6.3   15.64      1  39        0         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 67    24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 162   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 84    24.00      0  39        0         1
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 64.1  24.00      0  43        0         0
#> 67.1  24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 67.2  24.00      0  25        0         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 12    24.00      0  63        0         0
#> 65    24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 20.1  24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 112.1 24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 94.1  24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 94.2  24.00      0  51        0         1
#> 109   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 176.1 24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 33    24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 62.1  24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 142.1 24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 182   24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 64.2  24.00      0  43        0         0
#> 143.1 24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 146.1 24.00      0  63        1         0
#> 115.1 24.00      0  NA        1         0
#> 162.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 185.1 24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 1.1   24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 178.2 24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.395          NA        NA      NA
#> 2 age, Cure model          0.00954        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0497         NA        NA      NA
#> 4 grade_iii, Cure model    0.653          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00301        NA        NA      NA
#> 2 grade_ii, Survival model   0.546          NA        NA      NA
#> 3 grade_iii, Survival model  0.577          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.395158          0.009544         -0.049729          0.653377  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 258.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.395158286      0.009543584     -0.049728746      0.653377061 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003012146      0.546254070      0.576654308 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58575715 0.90870177 0.89068607 0.83362709 0.71976085 0.60954663
#>   [7] 0.71276754 0.77421971 0.93239046 0.74719816 0.71976085 0.81403338
#>  [13] 0.24554944 0.89068607 0.88449630 0.58575715 0.50085898 0.91470591
#>  [19] 0.38482514 0.85936547 0.38482514 0.96670800 0.47373224 0.75408706
#>  [25] 0.28746441 0.45510526 0.24554944 0.85297477 0.83362709 0.67762086
#>  [31] 0.56185007 0.80083279 0.63287434 0.92066821 0.11158017 0.56185007
#>  [37] 0.17750386 0.51855249 0.78750987 0.53615472 0.19612402 0.66303591
#>  [43] 0.87207386 0.93822961 0.98908564 0.92066821 0.98354306 0.55340461
#>  [49] 0.41582007 0.70576062 0.41582007 0.87207386 0.31598592 0.64059002
#>  [55] 0.06193800 0.66303591 0.71976085 0.36311126 0.58575715 0.75408706
#>  [61] 0.02538828 0.93822961 0.56185007 0.95537284 0.51855249 0.45510526
#>  [67] 0.86574416 0.36311126 0.50085898 0.84654388 0.81403338 0.76752833
#>  [73] 0.19612402 0.47373224 0.35132168 0.19612402 0.24554944 0.31598592
#>  [79] 0.65553678 0.89068607 0.62513367 0.97796343 0.31598592 0.43540648
#>  [85] 0.97235533 0.60954663 0.80743599 0.67762086 0.69867807 0.77421971
#>  [91] 0.98908564 0.44527744 0.67762086 0.54484437 0.49188961 0.40542418
#>  [97] 0.11158017 0.81403338 0.30206013 0.64059002 0.06193800 0.79417656
#> [103] 0.15690116 0.93822961 0.95537284 0.71976085 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   184   107    43   123     6   117   100   157   145   167   6.1   155    63 
#> 17.77 11.18 12.10 13.00 15.64 17.46 16.07 15.10 10.07 15.55 15.64 13.08 22.77 
#>  43.1    49 184.1   179   159   190   177 190.1   183    58    29    15   170 
#> 12.10 12.19 17.77 18.63 10.55 20.81 12.53 20.81  9.24 19.34 15.45 22.68 19.54 
#>  63.1   154 123.1   181   134    96    30    93   168 134.1    69    88   180 
#> 22.77 12.63 13.00 16.46 17.81 14.54 17.43 10.33 23.72 17.81 23.23 18.37 14.82 
#>    51   113   106    42   101   127  93.1    77    40   128     5 128.1  42.1 
#> 18.23 22.86 16.67 12.43  9.97  3.53 10.33  7.27 18.00 20.35 16.43 20.35 12.43 
#>   153    45    78 106.1   6.2    90 184.2  29.1    24 101.1 134.2   187  88.1 
#> 21.33 17.42 23.88 16.67 15.64 20.94 17.77 15.45 23.89  9.97 17.81  9.92 18.37 
#> 170.1    37  90.1 179.1   140 155.1    18 113.1    55    99 113.2  63.2 153.1 
#> 19.54 12.52 20.94 18.63 12.68 13.08 15.21 22.86 19.34 21.19 22.86 22.77 21.33 
#>    23  43.2   111    70 153.2   150    16 117.1    81 181.1    85 157.1 127.1 
#> 16.92 12.10 17.45  7.38 21.33 20.33  8.71 17.46 14.06 16.46 16.44 15.10  3.53 
#>   105 181.2    41    97    68 168.1 155.2   194  45.1  78.1   133   164 101.2 
#> 19.75 16.46 18.02 19.14 20.62 23.72 13.08 22.40 17.42 23.88 14.65 23.60  9.97 
#> 187.1   6.3    75   173   144    67   122    54   162   116    94    34    84 
#>  9.92 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   172   151  64.1  67.1    83    20  67.2   147   176    62   142  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    12    65   138   120   152   165    72   178  54.1    21     3 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   161   198   112  20.1   156 112.1   143    87  94.1   141 156.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    98  94.2   109  34.1    71  83.1 176.1   103    33    35   185    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  62.1    82     2 142.1  75.1   182     9  84.2 152.1   104  64.2 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1 146.1 162.1    17 185.1  72.1   1.1   102    53 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0100266                 0.7512950                 0.3226116 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.329348164             0.003450279             0.248231679 
#>   grade_iii, Cure model 
#>             0.848154915 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 150   20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 61    10.12      1  36        0         1
#> 192   16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 43.1  12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 60.1  13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 188   16.16      1  46        0         1
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 89.1  11.44      1  NA        0         0
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 175   21.91      1  43        0         0
#> 113.1 22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 169   22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 81    14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 58    19.34      1  39        0         0
#> 43.2  12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 6     15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 107   11.18      1  54        1         0
#> 39    15.59      1  37        0         1
#> 114   13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 58.1  19.34      1  39        0         0
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 88    18.37      1  47        0         0
#> 127    3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 125   15.65      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 59.1  10.16      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 175.1 21.91      1  43        0         0
#> 36.1  21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 78    23.88      1  43        0         0
#> 154.1 12.63      1  20        1         0
#> 14    12.89      1  21        0         0
#> 76.1  19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 49.1  12.19      1  48        1         0
#> 195.1 11.76      1  NA        1         0
#> 89.2  11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 86    23.81      1  58        0         1
#> 16.1   8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 166.1 19.98      1  48        0         0
#> 170   19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 23    16.92      1  61        0         0
#> 153   21.33      1  55        1         0
#> 36.2  21.19      1  48        0         1
#> 86.1  23.81      1  58        0         1
#> 51.2  18.23      1  83        0         1
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 199.1 19.81      1  NA        0         1
#> 6.1   15.64      1  39        0         0
#> 15.1  22.68      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 66    22.13      1  53        0         0
#> 88.1  18.37      1  47        0         0
#> 188.1 16.16      1  46        0         1
#> 106   16.67      1  49        1         0
#> 125.1 15.65      1  67        1         0
#> 85    16.44      1  36        0         0
#> 108   18.29      1  39        0         1
#> 159.1 10.55      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 154.2 12.63      1  20        1         0
#> 41.1  18.02      1  40        1         0
#> 123   13.00      1  44        1         0
#> 137   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 191   24.00      0  60        0         1
#> 12    24.00      0  63        0         0
#> 9     24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 122   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 137.1 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 20.1  24.00      0  46        1         0
#> 161   24.00      0  45        0         0
#> 27    24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 94.2  24.00      0  51        0         1
#> 75.1  24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 137.2 24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 46.1  24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 46.2  24.00      0  71        0         0
#> 46.3  24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 102.1 24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 141.1 24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 112.1 24.00      0  61        0         0
#> 118.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 17.1  24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 176.1 24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 54.1  24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 122.1 24.00      0  66        0         0
#> 196.2 24.00      0  19        0         0
#> 98.1  24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 46.4  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.329          NA        NA      NA
#> 2 age, Cure model          0.00345        NA        NA      NA
#> 3 grade_ii, Cure model     0.248          NA        NA      NA
#> 4 grade_iii, Cure model    0.848          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0100        NA        NA      NA
#> 2 grade_ii, Survival model    0.751         NA        NA      NA
#> 3 grade_iii, Survival model   0.323         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.32935           0.00345           0.24823           0.84815  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.329348164      0.003450279      0.248231679      0.848154915 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0100266        0.7512950        0.3226116 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.643681235 0.203059035 0.914640988 0.903856514 0.666089617 0.871255030
#>   [7] 0.479893577 0.806594095 0.946998566 0.806594095 0.176091296 0.024702192
#>  [13] 0.017366152 0.666089617 0.143411329 0.512170632 0.849626228 0.289107900
#>  [19] 0.893015945 0.752902011 0.125888789 0.038627009 0.212264540 0.968305848
#>  [25] 0.544617334 0.194010278 0.632542747 0.091031816 0.038627009 0.763628291
#>  [31] 0.946998566 0.415027889 0.074639035 0.501369664 0.393724115 0.361483917
#>  [37] 0.654857737 0.309261164 0.240424331 0.806594095 0.052879831 0.577301735
#>  [43] 0.610355232 0.838787573 0.599262614 0.108041096 0.240424331 0.259617292
#>  [49] 0.059995027 0.289107900 0.329781809 0.989377883 0.184973363 0.925414950
#>  [55] 0.555608007 0.763628291 0.721248439 0.361483917 0.279093774 0.621405880
#>  [61] 0.091031816 0.143411329 0.447092718 0.001497398 0.721248439 0.710176818
#>  [67] 0.259617292 0.031555815 0.785202268 0.436355210 0.116985619 0.785202268
#>  [73] 0.425654085 0.006977883 0.925414950 0.688035199 0.212264540 0.230880370
#>  [79] 0.533660989 0.457971987 0.134712952 0.143411329 0.006977883 0.361483917
#>  [85] 0.882142512 0.143411329 0.577301735 0.059995027 0.309261164 0.082667801
#>  [91] 0.329781809 0.512170632 0.468970806 0.555608007 0.479893577 0.350794049
#>  [97] 0.849626228 0.968305848 0.721248439 0.393724115 0.699137876 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    13   150   183   187    60    61   192    43    70  43.1    90   129   164 
#> 14.34 20.33  9.24  9.92 13.15 10.12 16.44 12.10  7.38 12.10 20.94 23.41 23.60 
#>  60.1    36   188   159   179   101    42   139   113   166    25    26   128 
#> 13.15 21.19 16.16 10.55 18.63  9.97 12.43 21.49 22.86 19.98  6.32 15.77 20.35 
#>    96   175 113.1    56  70.1    40   169    79    41    51    81     8    58 
#> 14.54 21.91 22.86 12.21  7.38 18.00 22.41 16.23 18.02 18.23 14.06 18.43 19.34 
#>  43.2    63     6   167   107    39   136  58.1    76    15 179.1    88   127 
#> 12.10 22.77 15.64 15.55 11.18 15.59 21.83 19.34 19.22 22.68 18.63 18.37  3.53 
#>    68    16   125  56.1   154  51.1    97   133 175.1  36.1    30    78 154.1 
#> 20.62  8.71 15.65 12.21 12.63 18.23 19.14 14.65 21.91 21.19 17.43 23.88 12.63 
#>    14  76.1    92    49   111   197  49.1   110    86  16.1   155 166.1   170 
#> 12.89 19.22 22.92 12.19 17.45 21.60 12.19 17.56 23.81  8.71 13.08 19.98 19.54 
#>   100    23   153  36.2  86.1  51.2   145    99   6.1  15.1   8.1    66  88.1 
#> 16.07 16.92 21.33 21.19 23.81 18.23 10.07 21.19 15.64 22.68 18.43 22.13 18.37 
#> 188.1   106 125.1    85   108 159.1  25.1 154.2  41.1   123   137    94   176 
#> 16.16 16.67 15.65 16.44 18.29 10.55  6.32 12.63 18.02 13.00 24.00 24.00 24.00 
#>    53   186   198   172   173    46    31    17   141    65    20   191    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  94.1   122   102    47    62    64    38    19    75    98 137.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   161    27   196  94.2  75.1     1 196.1   121 137.2   143  46.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1    95    11  46.2  46.3   165 102.1    54   109 121.1   112   132    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1  62.1     7   174   151   200   119   193   116     2    87   182 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1 118.1    82  17.1    83 176.1   131    33 109.1 200.1  54.1   148    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1 196.2  98.1   160  46.4 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003369968               0.429957521               0.429453671 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.542792668             0.008379259             0.372007999 
#>   grade_iii, Cure model 
#>             0.910825637 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 86    23.81      1  58        0         1
#> 18    15.21      1  49        1         0
#> 85    16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 167   15.55      1  56        1         0
#> 23    16.92      1  61        0         0
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 49    12.19      1  48        1         0
#> 197.1 21.60      1  69        1         0
#> 13    14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 93    10.33      1  52        0         1
#> 76    19.22      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 6.1   15.64      1  39        0         0
#> 70     7.38      1  30        1         0
#> 63    22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 23.1  16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 125   15.65      1  67        1         0
#> 39.1  15.59      1  37        0         1
#> 70.1   7.38      1  30        1         0
#> 30    17.43      1  78        0         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 6.2   15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 39.2  15.59      1  37        0         1
#> 78    23.88      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 167.1 15.55      1  56        1         0
#> 197.2 21.60      1  69        1         0
#> 81    14.06      1  34        0         0
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 107   11.18      1  54        1         0
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 167.2 15.55      1  56        1         0
#> 183.1  9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 78.1  23.88      1  43        0         0
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 15.1  22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 190.1 20.81      1  42        1         0
#> 57.1  14.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 175   21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 30.1  17.43      1  78        0         0
#> 58.1  19.34      1  39        0         0
#> 111   17.45      1  47        0         1
#> 129   23.41      1  53        1         0
#> 128   20.35      1  35        0         1
#> 158   20.14      1  74        1         0
#> 181.1 16.46      1  45        0         1
#> 167.3 15.55      1  56        1         0
#> 93.1  10.33      1  52        0         1
#> 183.2  9.24      1  67        1         0
#> 59    10.16      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 63.2  22.77      1  31        1         0
#> 189.1 10.51      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 180.1 14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 88    18.37      1  47        0         0
#> 194   22.40      1  38        0         1
#> 10    10.53      1  34        0         0
#> 30.2  17.43      1  78        0         0
#> 42    12.43      1  49        0         1
#> 39.3  15.59      1  37        0         1
#> 30.3  17.43      1  78        0         0
#> 51    18.23      1  83        0         1
#> 106.1 16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 85.1  16.44      1  36        0         0
#> 6.3   15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 195   11.76      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 175.1 21.91      1  43        0         0
#> 179.1 18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 25     6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 51.1  18.23      1  83        0         1
#> 113.1 22.86      1  34        0         0
#> 190.2 20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 137   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 11    24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 64.1  24.00      0  43        0         0
#> 186   24.00      0  45        1         0
#> 162.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 137.1 24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 132.1 24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 120.1 24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 173.1 24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 21.1  24.00      0  47        0         0
#> 137.2 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 102   24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 22.1  24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 34.1  24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 103   24.00      0  56        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 21.2  24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 126.2 24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 21.3  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 94    24.00      0  51        0         1
#> 122   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 186.1 24.00      0  45        1         0
#> 126.3 24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 172.2 24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 27.1  24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 118.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 173.2 24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 173.3 24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 148.1 24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.543          NA        NA      NA
#> 2 age, Cure model          0.00838        NA        NA      NA
#> 3 grade_ii, Cure model     0.372          NA        NA      NA
#> 4 grade_iii, Cure model    0.911          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00337        NA        NA      NA
#> 2 grade_ii, Survival model   0.430          NA        NA      NA
#> 3 grade_iii, Survival model  0.429          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.542793          0.008379          0.372008          0.910826  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 260.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.542792668      0.008379259      0.372007999      0.910825637 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003369968      0.429957521      0.429453671 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.20996855 0.04274088 0.75301462 0.57660682 0.61215808 0.71861023
#>   [7] 0.51190409 0.33535224 0.68375092 0.25966479 0.86564633 0.20996855
#>  [13] 0.80519013 0.76173640 0.89134140 0.39137893 0.33535224 0.26959238
#>  [19] 0.64824722 0.06856224 0.64824722 0.95854566 0.12805627 0.78789271
#>  [25] 0.24961938 0.51190409 0.82253890 0.63924508 0.68375092 0.95854566
#>  [31] 0.47542192 0.93360731 0.57660682 0.64824722 0.31636945 0.36367700
#>  [37] 0.68375092 0.01986330 0.12805627 0.83983952 0.71861023 0.20996855
#>  [43] 0.81385951 0.97513167 0.00637417 0.87422411 0.09356777 0.15774569
#>  [49] 0.99173077 0.62120682 0.54911519 0.71861023 0.93360731 0.05532976
#>  [55] 0.53060850 0.55839451 0.01986330 0.92516788 0.85704233 0.15774569
#>  [61] 0.40077600 0.26959238 0.78789271 0.29730905 0.18916735 0.83118614
#>  [67] 0.23946075 0.47542192 0.36367700 0.46619545 0.08133701 0.30689331
#>  [73] 0.32588819 0.55839451 0.71861023 0.89134140 0.93360731 0.77047284
#>  [79] 0.12805627 0.57660682 0.77047284 0.45691179 0.41946424 0.17862602
#>  [85] 0.88277826 0.47542192 0.84845412 0.68375092 0.47542192 0.42894612
#>  [91] 0.53060850 0.44756890 0.57660682 0.64824722 0.36367700 0.90829161
#>  [97] 0.18916735 0.40077600 0.63021414 0.90829161 0.98344421 0.10532289
#> [103] 0.42894612 0.10532289 0.26959238 0.35420554 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   197    86    18    85     5   167    23   105    39    36    49 197.1    13 
#> 21.60 23.81 15.21 16.44 16.43 15.55 16.92 19.75 15.59 21.19 12.19 21.60 14.34 
#>   157    93    76 105.1   190     6   164   6.1    70    63    57   153  23.1 
#> 15.10 10.33 19.22 19.75 20.81 15.64 23.60 15.64  7.38 22.77 14.46 21.33 16.92 
#>    60   125  39.1  70.1    30   183   192   6.2   150    58  39.2    78  63.1 
#> 13.15 15.65 15.59  7.38 17.43  9.24 16.44 15.64 20.33 19.34 15.59 23.88 22.77 
#>   154 167.1 197.2    81    77    24   107    92    15    91   188   171 167.2 
#> 12.63 15.55 21.60 14.06  7.27 23.89 11.18 22.92 22.68  5.33 16.16 16.57 15.55 
#> 183.1   168   106   181  78.1   101    56  15.1   179 190.1  57.1    68   175 
#>  9.24 23.72 16.67 16.46 23.88  9.97 12.21 22.68 18.63 20.81 14.46 20.62 21.91 
#>    14   139  30.1  58.1   111   129   128   158 181.1 167.3  93.1 183.2   180 
#> 12.89 21.49 17.43 19.34 17.45 23.41 20.35 20.14 16.46 15.55 10.33  9.24 14.82 
#>  63.2 192.1 180.1   134    88   194    10  30.2    42  39.3  30.3    51 106.1 
#> 22.77 16.44 14.82 17.81 18.37 22.40 10.53 17.43 12.43 15.59 17.43 18.23 16.67 
#>    41  85.1   6.3    55   145 175.1 179.1   100 145.1    25   113  51.1 113.1 
#> 18.02 16.44 15.64 19.34 10.07 21.91 18.63 16.07 10.07  6.32 22.86 18.23 22.86 
#> 190.2   170   137   118    19    34   160   162   126   161   178    64    11 
#> 20.81 19.54 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  64.1   186 162.1     3    21 137.1   156    48    71     2   109   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   143   146    27    62   112 132.1   176   173   147 120.1    22    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1   119  21.1 137.2   163   131    82   102    83    33  22.1 126.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   148   103    74   185    46    38 109.1  21.2   172 126.2 172.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.3   151    94   122  71.1    28    65    44 186.1 126.3    20   198 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193  27.1    35   142 118.1 112.1 173.2     7 173.3   182 148.1   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002424571               0.350683054              -0.007738248 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.486666977             0.007158579             0.426421780 
#>   grade_iii, Cure model 
#>             0.767510173 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 150   20.33      1  48        0         0
#> 177   12.53      1  75        0         0
#> 37    12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 192   16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 50    10.02      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 10    10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 190.1 20.81      1  42        1         0
#> 184   17.77      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 23    16.92      1  61        0         0
#> 4     17.64      1  NA        0         1
#> 100.1 16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 180   14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 155   13.08      1  26        0         0
#> 171.1 16.57      1  41        0         1
#> 8.1   18.43      1  32        0         0
#> 90.1  20.94      1  50        0         1
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 100.2 16.07      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 195.1 11.76      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 14.1  12.89      1  21        0         0
#> 134   17.81      1  47        1         0
#> 199   19.81      1  NA        0         1
#> 177.2 12.53      1  75        0         0
#> 37.1  12.52      1  57        1         0
#> 123.1 13.00      1  44        1         0
#> 192.1 16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 52.1  10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 150.1 20.33      1  48        0         0
#> 177.3 12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 133.1 14.65      1  57        0         0
#> 150.2 20.33      1  48        0         0
#> 24    23.89      1  38        0         0
#> 195.2 11.76      1  NA        1         0
#> 14.2  12.89      1  21        0         0
#> 15    22.68      1  48        0         0
#> 108.2 18.29      1  39        0         1
#> 110.1 17.56      1  65        0         1
#> 4.1   17.64      1  NA        0         1
#> 136.1 21.83      1  43        0         1
#> 10.1  10.53      1  34        0         0
#> 25     6.32      1  34        1         0
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 179.1 18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 23.1  16.92      1  61        0         0
#> 99.1  21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 41.1  18.02      1  40        1         0
#> 41.2  18.02      1  40        1         0
#> 93.1  10.33      1  52        0         1
#> 154.1 12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 134.1 17.81      1  47        1         0
#> 114.1 13.68      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 107.1 11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 108.3 18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 106.1 16.67      1  49        1         0
#> 5     16.43      1  51        0         1
#> 57    14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 68.1  20.62      1  44        0         0
#> 134.2 17.81      1  47        1         0
#> 83    24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 126.1 24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 62    24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 119   24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 44.1  24.00      0  56        0         0
#> 143   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 82.1  24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 165.1 24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 104.1 24.00      0  50        1         0
#> 102   24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 122   24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 121.1 24.00      0  57        1         0
#> 142.1 24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 11.1  24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 162.1 24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 120.1 24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 182.1 24.00      0  35        0         0
#> 67.1  24.00      0  25        0         0
#> 182.2 24.00      0  35        0         0
#> 193.1 24.00      0  45        0         1
#> 11.2  24.00      0  42        0         1
#> 82.2  24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 193.2 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 83.2  24.00      0   6        0         0
#> 182.3 24.00      0  35        0         0
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 148.1 24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 120.2 24.00      0  68        0         1
#> 182.4 24.00      0  35        0         0
#> 115.2 24.00      0  NA        1         0
#> 142.2 24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 2.1   24.00      0   9        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.487          NA        NA      NA
#> 2 age, Cure model          0.00716        NA        NA      NA
#> 3 grade_ii, Cure model     0.426          NA        NA      NA
#> 4 grade_iii, Cure model    0.768          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00242        NA        NA      NA
#> 2 grade_ii, Survival model   0.351          NA        NA      NA
#> 3 grade_iii, Survival model -0.00774        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.486667          0.007159          0.426422          0.767510  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.486666977      0.007158579      0.426421780      0.767510173 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002424571      0.350683054     -0.007738248 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.60121539 0.56487668 0.28883038 0.83234314 0.86480787 0.71463838
#>   [7] 0.93679436 0.63677193 0.46193943 0.34129085 0.37214441 0.97641000
#>  [13] 0.39245315 0.36178630 0.42288646 0.90502043 0.24541976 0.04798055
#>  [19] 0.67177960 0.24541976 0.53737713 0.83234314 0.58309113 0.67177960
#>  [25] 0.92092460 0.88100204 0.70604858 0.21007199 0.42288646 0.61901815
#>  [31] 0.75726267 0.61901815 0.39245315 0.21007199 0.13688933 0.77419438
#>  [37] 0.67177960 0.54662883 0.17526172 0.66305897 0.34129085 0.81581961
#>  [43] 0.23365288 0.79091406 0.79091406 0.51005255 0.83234314 0.86480787
#>  [49] 0.77419438 0.63677193 0.47198160 0.08061000 0.88909221 0.92092460
#>  [55] 0.96851013 0.28883038 0.83234314 0.12313399 0.96057613 0.71463838
#>  [61] 0.28883038 0.01225072 0.79091406 0.09504024 0.42288646 0.54662883
#>  [67] 0.13688933 0.90502043 0.98429920 0.32020402 0.95263041 0.37214441
#>  [73] 0.74020196 0.58309113 0.17526172 0.26722377 0.41267771 0.56487668
#>  [79] 0.47198160 0.47198160 0.93679436 0.81581961 0.69744896 0.99215427
#>  [85] 0.74873649 0.03049516 0.10920956 0.51005255 0.75726267 0.88909221
#>  [91] 0.33077373 0.50046753 0.42288646 0.16253804 0.60121539 0.65426680
#>  [97] 0.73165451 0.06467892 0.17526172 0.26722377 0.51005255 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   106   117   150   177    37   133    93   192    51    55   179    77     8 
#> 16.67 17.46 20.33 12.53 12.52 14.65 10.33 16.44 18.23 19.34 18.63  7.27 18.43 
#>    76   108    10   190    86   100 190.1   184 177.1    23 100.1    52    49 
#> 19.22 18.29 10.53 20.81 23.81 16.07 20.81 17.77 12.53 16.92 16.07 10.42 12.19 
#>   180    90 108.1   171   155 171.1   8.1  90.1   136   123 100.2   110    99 
#> 14.82 20.94 18.29 16.57 13.08 16.57 18.43 20.94 21.83 13.00 16.07 17.56 21.19 
#>    79  55.1   154    32    14  14.1   134 177.2  37.1 123.1 192.1    41    63 
#> 16.23 19.34 12.63 20.90 12.89 12.89 17.81 12.53 12.52 13.00 16.44 18.02 22.77 
#>   107  52.1    70 150.1 177.3   175    16 133.1 150.2    24  14.2    15 108.2 
#> 11.18 10.42  7.38 20.33 12.53 21.91  8.71 14.65 20.33 23.89 12.89 22.68 18.29 
#> 110.1 136.1  10.1    25   158    61 179.1    13  23.1  99.1    68    88 117.1 
#> 17.56 21.83 10.53  6.32 20.14 10.12 18.63 14.34 16.92 21.19 20.62 18.37 17.46 
#>  41.1  41.2  93.1 154.1    18    91    81    78    66 134.1 155.1 107.1   105 
#> 18.02 18.02 10.33 12.63 15.21  5.33 14.06 23.88 22.13 17.81 13.08 11.18 19.75 
#>    40 108.3   153 106.1     5    57   164    36  68.1 134.2    83   193   126 
#> 18.00 18.29 21.33 16.67 16.43 14.46 23.60 21.19 20.62 17.81 24.00 24.00 24.00 
#>   182    84    75   142  75.1   178   109   148    19 126.1    34    62  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   119   104   118   138    98   174   120    82   165    54  44.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    95  83.1   162   135  82.1    67 165.1    71    17   200 104.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   122 104.2   121    11   132 121.1 142.1     2  11.1    87    35    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 162.1   147 120.1   112 182.1  67.1 182.2 193.1  11.2  82.2   173   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2   141    27  54.1    72  83.2 182.3   144    80 102.1 148.1   7.1 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.4 142.2 109.1   2.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0001523465              0.3111930993              0.4143590893 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03216429              0.01932654              0.19373481 
#>   grade_iii, Cure model 
#>              0.73587677 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 105   19.75      1  60        0         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 42    12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 150   20.33      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 39.1  15.59      1  37        0         1
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 96.1  14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 66.1  22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 57.1  14.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 25     6.32      1  34        1         0
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 158   20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 140   12.68      1  59        1         0
#> 149.1  8.37      1  33        1         0
#> 63.1  22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 23.1  16.92      1  61        0         0
#> 106.1 16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 123.1 13.00      1  44        1         0
#> 42.1  12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 158.1 20.14      1  74        1         0
#> 15    22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 43.2  12.10      1  61        0         1
#> 110   17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 6     15.64      1  39        0         0
#> 170.1 19.54      1  43        0         1
#> 123.2 13.00      1  44        1         0
#> 105.1 19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 39.2  15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 16     8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 52.1  10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 157   15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 6.1   15.64      1  39        0         0
#> 36    21.19      1  48        0         1
#> 13    14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 23.2  16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 76.1  19.22      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 23.3  16.92      1  61        0         0
#> 190.1 20.81      1  42        1         0
#> 97.2  19.14      1  65        0         1
#> 183.2  9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 134.2 17.81      1  47        1         0
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 145   10.07      1  65        1         0
#> 130.1 16.47      1  53        0         1
#> 124    9.73      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 89    11.44      1  NA        0         0
#> 105.2 19.75      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 180.1 14.82      1  37        0         0
#> 45.1  17.42      1  54        0         1
#> 158.2 20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 159   10.55      1  50        0         1
#> 11    24.00      0  42        0         1
#> 28    24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 173   24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 191   24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 62    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 48.1  24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 165.1 24.00      0  47        0         0
#> 176.1 24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 163.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 176.2 24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 138.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 1.1   24.00      0  23        1         0
#> 67    24.00      0  25        0         0
#> 21.1  24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 71.1  24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 191.2 24.00      0  60        0         1
#> 48.2  24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 104.2 24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 143   24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 44.1  24.00      0  56        0         0
#> 64    24.00      0  43        0         0
#> 118.1 24.00      0  44        1         0
#> 163.2 24.00      0  66        0         0
#> 120.1 24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 1.2   24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 64.1  24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 178   24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 44.2  24.00      0  56        0         0
#> 176.3 24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 11.1  24.00      0  42        0         1
#> 118.2 24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 87    24.00      0  27        0         0
#> 62.1  24.00      0  71        0         0
#> 137.1 24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.03          NA        NA      NA
#> 2 age, Cure model           0.0193        NA        NA      NA
#> 3 grade_ii, Cure model      0.194         NA        NA      NA
#> 4 grade_iii, Cure model     0.736         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000152        NA        NA      NA
#> 2 grade_ii, Survival model  0.311           NA        NA      NA
#> 3 grade_iii, Survival model 0.414           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03216           0.01933           0.19373           0.73588  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03216429       0.01932654       0.19373481       0.73587677 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0001523465     0.3111930993     0.4143590893 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.39121722 0.92075828 0.34144791 0.71254371 0.75275303 0.27947249
#>   [7] 0.72868274 0.90604326 0.62244488 0.67213545 0.17254150 0.85357827
#>  [13] 0.02069785 0.30062627 0.62244488 0.94993626 0.73679665 0.21016000
#>  [19] 0.22241919 0.79214045 0.67213545 0.23442825 0.87632611 0.87632611
#>  [25] 0.73679665 0.13445795 0.17254150 0.58867306 0.75275303 0.97861970
#>  [31] 0.99286881 0.05589642 0.60568267 0.31139329 0.10607925 0.81522862
#>  [37] 0.97861970 0.13445795 0.55478332 0.55478332 0.58867306 0.94265404
#>  [43] 0.63897397 0.79214045 0.85357827 0.25770389 0.31139329 0.15949572
#>  [49] 0.64729207 0.77642292 0.42007840 0.42007840 0.37147999 0.48413177
#>  [55] 0.87632611 0.51982291 0.46580478 0.65560918 0.37147999 0.79214045
#>  [61] 0.34144791 0.69630950 0.67213545 0.53756181 0.83827606 0.97142994
#>  [67] 0.44728777 0.90604326 0.19762361 0.70442694 0.83827606 0.65560918
#>  [73] 0.24621023 0.76853421 0.55478332 0.12027197 0.92075828 0.49331813
#>  [79] 0.09082132 0.25770389 0.40108015 0.49331813 0.40108015 0.02069785
#>  [85] 0.94993626 0.55478332 0.27947249 0.42007840 0.94993626 0.45654673
#>  [91] 0.49331813 0.82297065 0.82297065 0.93535077 0.60568267 0.78428184
#>  [97] 0.34144791 0.46580478 0.52873099 0.71254371 0.53756181 0.31139329
#> [103] 0.07411767 0.86873789 0.89859179 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    55    93   105   180    57   190   133    52   181    39    66    42    78 
#> 19.34 10.33 19.75 14.82 14.46 20.81 14.65 10.42 16.46 15.59 22.13 12.43 23.88 
#>   150 181.1   183    96   197   139   123  39.1   153    43  43.1  96.1    63 
#> 20.33 16.46  9.24 14.54 21.60 21.49 13.00 15.59 21.33 12.10 12.10 14.54 22.77 
#>  66.1   106  57.1   149    25   164   130   158    92   140 149.1  63.1    23 
#> 22.13 16.67 14.46  8.37  6.32 23.60 16.47 20.14 22.92 12.68  8.37 22.77 16.92 
#>  23.1 106.1   187    85 123.1  42.1    32 158.1    15   100    60    97  97.1 
#> 16.92 16.67  9.92 16.44 13.00 12.43 20.90 20.14 22.68 16.07 13.15 19.14 19.14 
#>   170    41  43.2   110    88     6 170.1 123.2 105.1    18  39.2    45   177 
#> 19.54 18.02 12.10 17.56 18.37 15.64 19.54 13.00 19.75 15.21 15.59 17.42 12.53 
#>    16   179  52.1   136   157 177.1   6.1    36    13  23.2   113  93.1   134 
#>  8.71 18.63 10.42 21.83 15.10 12.53 15.64 21.19 14.34 16.92 22.86 10.33 17.81 
#>    69  32.1    76 134.1  76.1  78.1 183.1  23.3 190.1  97.2 183.2     8 134.2 
#> 23.23 20.90 19.22 17.81 19.22 23.88  9.24 16.92 20.81 19.14  9.24 18.43 17.81 
#>   154 154.1   145 130.1   155 105.2  88.1   117 180.1  45.1 158.2   129    49 
#> 12.63 12.63 10.07 16.47 13.08 19.75 18.37 17.46 14.82 17.42 20.14 23.41 12.19 
#>   159    11    28    47    80     2    48   165   103   173   176    71    21 
#> 10.55 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   109   172   193     1   102    83   191   118   160   135   104   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    74    33  48.1   138   163   146 191.1 165.1 176.1 103.1 163.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.2    44    75 138.1    65   148   1.1    67  21.1    20  71.1 104.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.2  48.2  21.2   141 104.2   7.1   144   151   143  71.2   137  28.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 118.1 163.2 120.1   121    31   1.2    95   116  64.1   112   178    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2 176.3    54  11.1 118.2 144.1    87  62.1 137.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004401039               0.744437141               0.235522628 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.327934128             0.006337511             0.004974572 
#>   grade_iii, Cure model 
#>             0.877462139 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 190   20.81      1  42        1         0
#> 92    22.92      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 81    14.06      1  34        0         0
#> 108   18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 69.1  23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 136   21.83      1  43        0         1
#> 63    22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 113   22.86      1  34        0         0
#> 99    21.19      1  38        0         1
#> 26    15.77      1  49        0         1
#> 39    15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 25     6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 167   15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 24    23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 26.1  15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 145.1 10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 133   14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 66    22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 192   16.44      1  31        1         0
#> 79    16.23      1  54        1         0
#> 199   19.81      1  NA        0         1
#> 164   23.60      1  76        0         1
#> 199.1 19.81      1  NA        0         1
#> 55    19.34      1  69        0         1
#> 49    12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 92.1  22.92      1  47        0         1
#> 99.1  21.19      1  38        0         1
#> 123.1 13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 55.1  19.34      1  69        0         1
#> 190.1 20.81      1  42        1         0
#> 128   20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 149.1  8.37      1  33        1         0
#> 140   12.68      1  59        1         0
#> 49.1  12.19      1  48        1         0
#> 99.2  21.19      1  38        0         1
#> 184   17.77      1  38        0         0
#> 13    14.34      1  54        0         1
#> 108.1 18.29      1  39        0         1
#> 158   20.14      1  74        1         0
#> 153   21.33      1  55        1         0
#> 56.1  12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 107   11.18      1  54        1         0
#> 158.1 20.14      1  74        1         0
#> 168.1 23.72      1  70        0         0
#> 113.2 22.86      1  34        0         0
#> 130.1 16.47      1  53        0         1
#> 155   13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 63.2  22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 140.1 12.68      1  59        1         0
#> 101.1  9.97      1  10        0         1
#> 181   16.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 149.2  8.37      1  33        1         0
#> 105   19.75      1  60        0         0
#> 99.3  21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 128.1 20.35      1  35        0         1
#> 183    9.24      1  67        1         0
#> 59.1  10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 187.1  9.92      1  39        1         0
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 36.1  21.19      1  48        0         1
#> 179   18.63      1  42        0         0
#> 195   11.76      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 139.1 21.49      1  63        1         0
#> 49.2  12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 135.1 24.00      0  58        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 74    24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 3.1   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 83.1  24.00      0   6        0         0
#> 17.1  24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 54.1  24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 48.2  24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 121.1 24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 143.1 24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 1.1   24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 178   24.00      0  52        1         0
#> 147.1 24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 135.2 24.00      0  58        1         0
#> 176.1 24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 119.1 24.00      0  17        0         0
#> 163.2 24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.328          NA        NA      NA
#> 2 age, Cure model          0.00634        NA        NA      NA
#> 3 grade_ii, Cure model     0.00497        NA        NA      NA
#> 4 grade_iii, Cure model    0.877          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00440        NA        NA      NA
#> 2 grade_ii, Survival model   0.744          NA        NA      NA
#> 3 grade_iii, Survival model  0.236          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.327934          0.006338          0.004975          0.877462  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.327934128      0.006337511      0.004974572      0.877462139 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004401039      0.744437141      0.235522628 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.656666677 0.463093675 0.324079520 0.096694689 0.656666677 0.379680037
#>   [7] 0.463093675 0.910760294 0.746824199 0.481848700 0.894064030 0.070451739
#>  [13] 0.960197019 0.070451739 0.927392210 0.205256533 0.161442997 0.791191939
#>  [19] 0.122777450 0.258907320 0.638616276 0.674795700 0.029127584 0.755837193
#>  [25] 0.500555790 0.992074611 0.825935036 0.379680037 0.683912632 0.593131812
#>  [31] 0.004914191 0.216780087 0.701925328 0.773708139 0.638616276 0.984097434
#>  [37] 0.894064030 0.565501974 0.710920348 0.611303609 0.519335614 0.193702433
#>  [43] 0.719940690 0.885584042 0.434898131 0.546974580 0.593131812 0.620456529
#>  [49] 0.055034412 0.407359034 0.843282836 0.556238111 0.161442997 0.407359034
#>  [55] 0.096694689 0.258907320 0.773708139 0.122777450 0.016025232 0.407359034
#>  [61] 0.324079520 0.342833277 0.877097542 0.960197019 0.799991306 0.843282836
#>  [67] 0.258907320 0.528533653 0.737826298 0.481848700 0.361500615 0.248636574
#>  [73] 0.825935036 0.817257634 0.868622439 0.361500615 0.029127584 0.122777450
#>  [79] 0.565501974 0.764767022 0.227974253 0.161442997 0.314124647 0.258907320
#>  [85] 0.799991306 0.910760294 0.583876640 0.692951798 0.960197019 0.398026881
#>  [91] 0.258907320 0.510020131 0.342833277 0.943796660 0.444279150 0.719940690
#>  [97] 0.927392210 0.537756414 0.258907320 0.453669949 0.629521205 0.227974253
#> [103] 0.843282836 0.951994223 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>     6     8   190    92   6.1   166   8.1   101    81   108   145    69   149 
#> 15.64 18.43 20.81 22.92 15.64 19.98 18.43  9.97 14.06 18.29 10.07 23.23  8.37 
#>  69.1   187   136    63    14   113    99    26    39   168    60    51    25 
#> 23.23  9.92 21.83 22.77 12.89 22.86 21.19 15.77 15.59 23.72 13.15 18.23  6.32 
#>    56 166.1   167    85    24   197   157   123  26.1    70 145.1   130   133 
#> 12.21 19.98 15.55 16.44 23.89 21.60 15.10 13.00 15.77  7.38 10.07 16.47 14.65 
#>     5   134    66    96    61    76    30   192    79   164    55    49    45 
#> 16.43 17.81 22.13 14.54 10.12 19.22 17.43 16.44 16.23 23.60 19.34 12.19 17.42 
#>  63.1    58  92.1  99.1 123.1 113.1    78  55.1 190.1   128    10 149.1   140 
#> 22.77 19.34 22.92 21.19 13.00 22.86 23.88 19.34 20.81 20.35 10.53  8.37 12.68 
#>  49.1  99.2   184    13 108.1   158   153  56.1    42   107 158.1 168.1 113.2 
#> 12.19 21.19 17.77 14.34 18.29 20.14 21.33 12.21 12.43 11.18 20.14 23.72 22.86 
#> 130.1   155   139  63.2    90    36 140.1 101.1   181    29 149.2   105  99.3 
#> 16.47 13.08 21.49 22.77 20.94 21.19 12.68  9.97 16.46 15.45  8.37 19.75 21.19 
#>    40 128.1   183    97  96.1 187.1   111  36.1   179   100 139.1  49.2    16 
#> 18.00 20.35  9.24 19.14 14.54  9.92 17.45 21.19 18.63 16.07 21.49 12.19  8.71 
#>   152    31    65   112   138   144    80     9     3    98   135 135.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84     1   147    34  34.1    74   200     7    48    17    19   185    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1    72   163  83.1  17.1   9.1   132    21 163.1   146  48.1   186   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    54    53    22    95    62   141    35   118  38.1  74.1  54.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   174  48.2 112.1 121.1   102 143.1   176     2   162  84.1   1.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    94    46   122    75   172    28   178 147.1  62.1    67 200.1 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1    47 119.1 163.2 185.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004782789               0.500356769               0.539028515 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.384283666             0.007053887             0.166111928 
#>   grade_iii, Cure model 
#>             0.426930959 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 68    20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 171   16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 106   16.67      1  49        1         0
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 197   21.60      1  69        1         0
#> 106.1 16.67      1  49        1         0
#> 113   22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 8     18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 15.1  22.68      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 70     7.38      1  30        1         0
#> 157   15.10      1  47        0         0
#> 85    16.44      1  36        0         0
#> 100.2 16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 128   20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 57    14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 199   19.81      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 195.2 11.76      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 130   16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 188   16.16      1  46        0         1
#> 111.1 17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 125.1 15.65      1  67        1         0
#> 8.1   18.43      1  32        0         0
#> 117.1 17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 13.1  14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 13.2  14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 106.2 16.67      1  49        1         0
#> 117.2 17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 181.1 16.46      1  45        0         1
#> 106.3 16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 199.1 19.81      1  NA        0         1
#> 181.2 16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 41.1  18.02      1  40        1         0
#> 4.1   17.64      1  NA        0         1
#> 106.4 16.67      1  49        1         0
#> 43.2  12.10      1  61        0         1
#> 32.1  20.90      1  37        1         0
#> 170.1 19.54      1  43        0         1
#> 10    10.53      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 52    10.42      1  52        0         1
#> 30.1  17.43      1  78        0         0
#> 51.1  18.23      1  83        0         1
#> 175   21.91      1  43        0         0
#> 88.1  18.37      1  47        0         0
#> 168.1 23.72      1  70        0         0
#> 124.1  9.73      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 166.1 19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 89.1  11.44      1  NA        0         0
#> 32.2  20.90      1  37        1         0
#> 154.1 12.63      1  20        1         0
#> 88.2  18.37      1  47        0         0
#> 41.2  18.02      1  40        1         0
#> 29.1  15.45      1  68        1         0
#> 14.2  12.89      1  21        0         0
#> 52.1  10.42      1  52        0         1
#> 117.3 17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 79    16.23      1  54        1         0
#> 125.2 15.65      1  67        1         0
#> 140.1 12.68      1  59        1         0
#> 41.3  18.02      1  40        1         0
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 19    24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 19.1  24.00      0  57        0         1
#> 138   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 47.1  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 21.1  24.00      0  47        0         0
#> 20.1  24.00      0  46        1         0
#> 103.1 24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 2     24.00      0   9        0         0
#> 160   24.00      0  31        1         0
#> 120.2 24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 160.1 24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 103.2 24.00      0  56        1         0
#> 200.1 24.00      0  64        0         0
#> 94.1  24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 27.1  24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 200.2 24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 104.1 24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 119.1 24.00      0  17        0         0
#> 82.1  24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 196.1 24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 44.1  24.00      0  56        0         0
#> 178.1 24.00      0  52        1         0
#> 104.2 24.00      0  50        1         0
#> 33.1  24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 193.1 24.00      0  45        0         1
#> 146.1 24.00      0  63        1         0
#> 119.2 24.00      0  17        0         0
#> 44.2  24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 161   24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 65    24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.384          NA        NA      NA
#> 2 age, Cure model          0.00705        NA        NA      NA
#> 3 grade_ii, Cure model     0.166          NA        NA      NA
#> 4 grade_iii, Cure model    0.427          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00478        NA        NA      NA
#> 2 grade_ii, Survival model   0.500          NA        NA      NA
#> 3 grade_iii, Survival model  0.539          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.384284          0.007054          0.166112          0.426931  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 256.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.384283666      0.007053887      0.166111928      0.426930959 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004782789      0.500356769      0.539028515 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.423451383 0.196571671 0.783517785 0.897469295 0.566152503 0.845072102
#>   [7] 0.520449961 0.285374366 0.057124551 0.648510331 0.648510331 0.711882811
#>  [13] 0.827494908 0.482045994 0.317917313 0.738895954 0.098702053 0.520449961
#>  [19] 0.043435153 0.383105777 0.296281698 0.433806328 0.057124551 0.897469295
#>  [25] 0.219485729 0.757020514 0.444083457 0.974686215 0.729839251 0.611952453
#>  [31] 0.648510331 0.113322031 0.208170469 0.361528553 0.501133402 0.747979225
#>  [37] 0.584875618 0.957607098 0.007511953 0.139049565 0.801133874 0.966154095
#>  [43] 0.113322031 0.575539220 0.862468807 0.675764124 0.639392432 0.482045994
#>  [49] 0.702803147 0.675764124 0.296281698 0.444083457 0.152111401 0.757020514
#>  [55] 0.263713606 0.757020514 0.263713606 0.520449961 0.444083457 0.030391096
#>  [61] 0.584875618 0.520449961 0.801133874 0.991549720 0.185101470 0.888736231
#>  [67] 0.584875618 0.241998325 0.383105777 0.520449961 0.897469295 0.152111401
#>  [73] 0.241998325 0.931843312 0.783517785 0.940492938 0.501133402 0.361528553
#>  [79] 0.083673685 0.317917313 0.007511953 0.974686215 0.219485729 0.923205719
#>  [85] 0.611952453 0.152111401 0.845072102 0.317917313 0.383105777 0.711882811
#>  [91] 0.801133874 0.940492938 0.444083457 0.350471904 0.630225413 0.675764124
#>  [97] 0.827494908 0.383105777 0.879976398 0.871238266 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    40    68    60    43   171   154   106    76    15   100 100.1    29   140 
#> 18.00 20.62 13.15 12.10 16.57 12.63 16.67 19.22 22.68 16.07 16.07 15.45 12.68 
#>   111    88   133   197 106.1   113    41     8   134  15.1  43.1   166    13 
#> 17.45 18.37 14.65 21.60 16.67 22.86 18.02 18.43 17.81 22.68 12.10 19.98 14.34 
#>   117    70   157    85 100.2   153   128    51    30    57   181   101   168 
#> 17.46  7.38 15.10 16.44 16.07 21.33 20.35 18.23 17.43 14.46 16.46  9.97 23.72 
#>    36    14   183 153.1   130   177   125   188 111.1    39 125.1   8.1 117.1 
#> 21.19 12.89  9.24 21.33 16.47 12.53 15.65 16.16 17.45 15.59 15.65 18.43 17.46 
#>    32  13.1    58  13.2    55 106.2 117.2    92 181.1 106.3  14.1    77   190 
#> 20.90 14.34 19.34 14.34 19.34 16.67 17.46 22.92 16.46 16.67 12.89  7.27 20.81 
#>    49 181.2   170  41.1 106.4  43.2  32.1 170.1    10  60.1    52  30.1  51.1 
#> 12.19 16.46 19.54 18.02 16.67 12.10 20.90 19.54 10.53 13.15 10.42 17.43 18.23 
#>   175  88.1 168.1  70.1 166.1   107  85.1  32.2 154.1  88.2  41.2  29.1  14.2 
#> 21.91 18.37 23.72  7.38 19.98 11.18 16.44 20.90 12.63 18.37 18.02 15.45 12.89 
#>  52.1 117.3   108    79 125.2 140.1  41.3    56    42    19    11   103   178 
#> 10.42 17.46 18.29 16.23 15.65 12.68 18.02 12.21 12.43 24.00 24.00 24.00 24.00 
#>     9    72    47  19.1   138   126    20   120   137   200    21    94   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67     1   196   132    80    95   119 120.1   193  47.1   146   176    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    82    84    71  84.1   102  21.1  20.1 103.1    44     2   160 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    22 160.1    27 103.2 200.1  94.1   104  27.1    33    31 200.2    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   141    74   135 102.1   185   148 104.1   151 119.1  82.1     7 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  44.1 178.1 104.2  33.1   173   162 151.1    83 193.1 146.1 119.2  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   161   116    75    65 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003544828               0.425178256               0.225890441 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.69129112              0.01042298             -0.03139467 
#>   grade_iii, Cure model 
#>              1.20972799 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 93    10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 129   23.41      1  53        1         0
#> 113   22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 154   12.63      1  20        1         0
#> 125.1 15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 61    10.12      1  36        0         1
#> 110   17.56      1  65        0         1
#> 61.1  10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 63    22.77      1  31        1         0
#> 153   21.33      1  55        1         0
#> 15    22.68      1  48        0         0
#> 168   23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 189.1 10.51      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 97    19.14      1  65        0         1
#> 60    13.15      1  38        1         0
#> 24    23.89      1  38        0         0
#> 68    20.62      1  44        0         0
#> 175   21.91      1  43        0         0
#> 96.1  14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 23    16.92      1  61        0         0
#> 194   22.40      1  38        0         1
#> 128   20.35      1  35        0         1
#> 68.1  20.62      1  44        0         0
#> 179   18.63      1  42        0         0
#> 136.1 21.83      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 171   16.57      1  41        0         1
#> 128.1 20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 61.2  10.12      1  36        0         1
#> 61.3  10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 164.1 23.60      1  76        0         1
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 96.2  14.54      1  33        0         1
#> 76.1  19.22      1  54        0         1
#> 70     7.38      1  30        1         0
#> 16.1   8.71      1  71        0         1
#> 39.1  15.59      1  37        0         1
#> 37    12.52      1  57        1         0
#> 170   19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 86    23.81      1  58        0         1
#> 93.1  10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 129.2 23.41      1  53        1         0
#> 105.1 19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 45    17.42      1  54        0         1
#> 39.2  15.59      1  37        0         1
#> 125.2 15.65      1  67        1         0
#> 39.3  15.59      1  37        0         1
#> 92.1  22.92      1  47        0         1
#> 114.1 13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 77     7.27      1  67        0         1
#> 50    10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 187.1  9.92      1  39        1         0
#> 69.1  23.23      1  25        0         1
#> 194.1 22.40      1  38        0         1
#> 114.2 13.68      1  NA        0         0
#> 10    10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 136.2 21.83      1  43        0         1
#> 175.1 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 57.1  14.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 110.1 17.56      1  65        0         1
#> 149    8.37      1  33        1         0
#> 5     16.43      1  51        0         1
#> 76.2  19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 58.1  19.34      1  39        0         0
#> 177.1 12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 155   13.08      1  26        0         0
#> 15.1  22.68      1  48        0         0
#> 106   16.67      1  49        1         0
#> 113.1 22.86      1  34        0         0
#> 69.2  23.23      1  25        0         1
#> 89    11.44      1  NA        0         0
#> 125.3 15.65      1  67        1         0
#> 100   16.07      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 133   14.65      1  57        0         0
#> 52.1  10.42      1  52        0         1
#> 182   24.00      0  35        0         0
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 122   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 35    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 65.1  24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 71    24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 12.1  24.00      0  63        0         0
#> 80    24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 7.1   24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 31    24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 98.1  24.00      0  34        1         0
#> 53    24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 115.2 24.00      0  NA        1         0
#> 132.1 24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 84.2  24.00      0  39        0         1
#> 53.1  24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 116.1 24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 160.1 24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 75.1  24.00      0  21        1         0
#> 152.1 24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 115.3 24.00      0  NA        1         0
#> 120.1 24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 35.1  24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 196.2 24.00      0  19        0         0
#> 94.1  24.00      0  51        0         1
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 163.1 24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 161.1 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.691         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0314        NA        NA      NA
#> 4 grade_iii, Cure model     1.21          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00354        NA        NA      NA
#> 2 grade_ii, Survival model   0.425          NA        NA      NA
#> 3 grade_iii, Survival model  0.226          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.69129           0.01042          -0.03139           1.20973  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 242.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.69129112       0.01042298      -0.03139467       1.20972799 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003544828      0.425178256      0.225890441 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.582118742 0.359776414 0.862468197 0.684962539 0.075542716 0.149949572
#>   [7] 0.417551699 0.759844300 0.582118742 0.945119815 0.881015787 0.484894393
#>  [13] 0.881015787 0.815894231 0.168966758 0.283611764 0.178553384 0.040349375
#>  [19] 0.562753918 0.369399139 0.731617332 0.293263504 0.446058364 0.741049729
#>  [25] 0.006470576 0.312431806 0.236048374 0.684962539 0.255390810 0.514059730
#>  [31] 0.207320808 0.331370299 0.312431806 0.455771479 0.255390810 0.075542716
#>  [37] 0.350193804 0.543391110 0.533641395 0.331370299 0.990865135 0.619452555
#>  [43] 0.881015787 0.881015787 0.465513320 0.825230268 0.052889011 0.052889011
#>  [49] 0.103895804 0.712901368 0.131205107 0.684962539 0.417551699 0.972595357
#>  [55] 0.945119815 0.619452555 0.787895884 0.388583096 0.926820037 0.020317093
#>  [61] 0.862468197 0.398278016 0.075542716 0.369399139 0.797273201 0.197523643
#>  [67] 0.302899464 0.504279066 0.619452555 0.582118742 0.619452555 0.131205107
#>  [73] 0.656564860 0.981729755 0.917563495 0.926820037 0.103895804 0.207320808
#>  [79] 0.834561044 0.465513320 0.797273201 0.255390810 0.236048374 0.769197562
#>  [85] 0.712901368 0.666011645 0.484894393 0.963428630 0.553076421 0.417551699
#>  [91] 0.226286425 0.398278016 0.769197562 0.843903681 0.750441833 0.178553384
#>  [97] 0.523876719 0.149949572 0.103895804 0.582118742 0.572420639 0.020317093
#> [103] 0.675474933 0.843903681 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   125   166    93    96   129   113    76   154 125.1    16    61   110  61.1 
#> 15.65 19.98 10.33 14.54 23.41 22.86 19.22 12.63 15.65  8.71 10.12 17.56 10.12 
#>   107    63   153    15   168   188   105    81    90    97    60    24    68 
#> 11.18 22.77 21.33 22.68 23.72 16.16 19.75 14.06 20.94 19.14 13.15 23.89 20.62 
#>   175  96.1   136    23   194   128  68.1   179 136.1 129.1   150   192   171 
#> 21.91 14.54 21.83 16.92 22.40 20.35 20.62 18.63 21.83 23.41 20.33 16.44 16.57 
#> 128.1   127    39  61.2  61.3   184   159   164 164.1    69    57    92  96.2 
#> 20.35  3.53 15.59 10.12 10.12 17.77 10.55 23.60 23.60 23.23 14.46 22.92 14.54 
#>  76.1    70  16.1  39.1    37   170   187    86  93.1    58 129.2 105.1    42 
#> 19.22  7.38  8.71 15.59 12.52 19.54  9.92 23.81 10.33 19.34 23.41 19.75 12.43 
#>   169    32    45  39.2 125.2  39.3  92.1   167    77   145 187.1  69.1 194.1 
#> 22.41 20.90 17.42 15.59 15.65 15.59 22.92 15.55  7.27 10.07  9.92 23.23 22.40 
#>    10 184.1  42.1 136.2 175.1   177  57.1   180 110.1   149     5  76.2    66 
#> 10.53 17.77 12.43 21.83 21.91 12.53 14.46 14.82 17.56  8.37 16.43 19.22 22.13 
#>  58.1 177.1    52   155  15.1   106 113.1  69.2 125.3   100  86.1   133  52.1 
#> 19.34 12.53 10.42 13.08 22.68 16.67 22.86 23.23 15.65 16.07 23.81 14.65 10.42 
#>   182   196   132   122   152    21    98    35   137   186    65    84   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102     2   172    38 182.1  65.1  84.1    12    71  65.2   160 196.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80     7   162   141   118   200   148   131    47    83   7.1   147    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    74 162.1 162.2   198    75   135   120   116  98.1    53   161   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 118.1 132.1    54  84.2  53.1    94 116.1   103 160.1 141.1    82  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1    34   193    27  82.1 120.1    62    33   174  35.1  83.1 196.2  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   112    20 163.1    19 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001580815               0.922041304               0.550789976 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.21392293              0.02289987             -0.16821605 
#>   grade_iii, Cure model 
#>              1.05350308 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 101    9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 164   23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 66    22.13      1  53        0         0
#> 78    23.88      1  43        0         0
#> 39    15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 159.1 10.55      1  50        0         1
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 56    12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 129   23.41      1  53        1         0
#> 41    18.02      1  40        1         0
#> 157   15.10      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 167   15.55      1  56        1         0
#> 169   22.41      1  46        0         0
#> 124    9.73      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 180   14.82      1  37        0         0
#> 170.1 19.54      1  43        0         1
#> 188   16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 68    20.62      1  44        0         0
#> 130.1 16.47      1  53        0         1
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 169.1 22.41      1  46        0         0
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 49.1  12.19      1  48        1         0
#> 59    10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 6.1   15.64      1  39        0         0
#> 79.1  16.23      1  54        1         0
#> 188.2 16.16      1  46        0         1
#> 85    16.44      1  36        0         0
#> 105   19.75      1  60        0         0
#> 168   23.72      1  70        0         0
#> 56.1  12.21      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 195.1 11.76      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 170.2 19.54      1  43        0         1
#> 81.1  14.06      1  34        0         0
#> 101.1  9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 124.1  9.73      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 181.1 16.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 51.2  18.23      1  83        0         1
#> 150.1 20.33      1  48        0         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 150.2 20.33      1  48        0         0
#> 181.2 16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 78.1  23.88      1  43        0         0
#> 81.2  14.06      1  34        0         0
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 189.1 10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 111.1 17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 5.1   16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 91.1   5.33      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 128.2 20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 195.2 11.76      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 106   16.67      1  49        1         0
#> 169.2 22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 111.2 17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 185   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 12    24.00      0  63        0         0
#> 116   24.00      0  58        0         1
#> 126   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 144   24.00      0  28        0         1
#> 31    24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 80.2  24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 161.1 24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 22.1  24.00      0  52        1         0
#> 67.1  24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 148.1 24.00      0  61        1         0
#> 112.1 24.00      0  61        0         0
#> 148.2 24.00      0  61        1         0
#> 144.1 24.00      0  28        0         1
#> 72.1  24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 148.3 24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 119.1 24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 19    24.00      0  57        0         1
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 2.1   24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 17.1  24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 152.1 24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 112.2 24.00      0  61        0         0
#> 121.1 24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 1.1   24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 82.1  24.00      0  34        0         0
#> 12.1  24.00      0  63        0         0
#> 53.1  24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.21          NA        NA      NA
#> 2 age, Cure model           0.0229        NA        NA      NA
#> 3 grade_ii, Cure model     -0.168         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00158        NA        NA      NA
#> 2 grade_ii, Survival model   0.922          NA        NA      NA
#> 3 grade_iii, Survival model  0.551          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.2139            0.0229           -0.1682            1.0535  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254.3 
#> Residual Deviance: 236.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.21392293       0.02289987      -0.16821605       1.05350308 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001580815      0.922041304      0.550789976 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.92426612 0.91809310 0.14236065 0.22140997 0.65022202 0.46866789
#>   [7] 0.97173816 0.70609264 0.53115225 0.89943700 0.18655002 0.57993085
#>  [13] 0.33705684 0.30905233 0.06048323 0.76465338 0.87391550 0.89943700
#>  [19] 0.54151089 0.63338970 0.77888003 0.86065955 0.69045477 0.84738325
#>  [25] 0.94850006 0.02358636 0.91188517 0.16695251 0.57040630 0.78582289
#>  [31] 0.51038957 0.77182397 0.25311951 0.74302980 0.79276102 0.46866789
#>  [37] 0.72115078 0.98879641 0.41148434 0.72115078 0.36361842 0.63338970
#>  [43] 0.58931327 0.75026678 0.25311951 0.37664498 0.37664498 0.97747567
#>  [49] 0.35055821 0.87391550 0.84070567 0.75026678 0.70609264 0.72115078
#>  [55] 0.67449881 0.45739508 0.11294046 0.86065955 0.94850006 0.79969549
#>  [61] 0.81350216 0.46866789 0.81350216 0.92426612 0.44609457 0.54151089
#>  [67] 0.20462294 0.98879641 0.23812764 0.32307588 0.93644731 0.65022202
#>  [73] 0.88683583 0.54151089 0.41148434 0.62471112 0.29497306 0.49980239
#>  [79] 0.41148434 0.65022202 0.88683583 0.06048323 0.81350216 0.94249181
#>  [85] 0.67449881 0.83393341 0.58931327 0.52077801 0.69045477 0.97747567
#>  [91] 0.84738325 0.37664498 0.96023414 0.96023414 0.61592874 0.25311951
#>  [97] 0.80662430 0.58931327 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   101    61   164   113   181   170    77    79    88   159    69   110   136 
#>  9.97 10.12 23.60 22.86 16.46 19.54  7.27 16.23 18.37 10.55 23.23 17.56 21.83 
#>    66    78    39    49 159.1    51   130    29    56     5   177   149    24 
#> 22.13 23.88 15.59 12.19 10.55 18.23 16.47 15.45 12.21 16.43 12.53  8.37 23.89 
#>    52   129    41   157    97   167   169   125   180 170.1   188   127   150 
#> 10.42 23.41 18.02 15.10 19.14 15.55 22.41 15.65 14.82 19.54 16.16  3.53 20.33 
#> 188.1    68 130.1   111     6 169.1   128 128.1    91    90  49.1   140   6.1 
#> 16.16 20.62 16.47 17.45 15.64 22.41 20.35 20.35  5.33 20.94 12.19 12.68 15.64 
#>  79.1 188.2    85   105   168  56.1 149.1   133    81 170.2  81.1 101.1   158 
#> 16.23 16.16 16.44 19.75 23.72 12.21  8.37 14.65 14.06 19.54 14.06  9.97 20.14 
#>  51.1    92 127.1    63   175   187 181.1   107  51.2 150.1   171   194    58 
#> 18.23 22.92  3.53 22.77 21.91  9.92 16.46 11.18 18.23 20.33 16.57 22.40 19.34 
#> 150.2 181.2 107.1  78.1  81.2    16   192   123 111.1   179   5.1  91.1 177.1 
#> 20.33 16.46 11.18 23.88 14.06  8.71 16.44 13.00 17.45 18.63 16.43  5.33 12.53 
#> 128.2    70  70.1   106 169.2    57 111.2   185   156   103    72   112    83 
#> 20.35  7.38  7.38 16.67 22.41 14.46 17.45 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182     7     9   161   7.1    71   121   198    65    67     2    35     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   162    82    12   116   126   118 198.1   144    31    64    80    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    22   148    17  80.1   131   120   143  80.2   152 161.1    75  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1  67.1   9.1 162.1 118.1 103.1 148.1 112.1 148.2 144.1  72.1    53 148.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 119.1   193    20    19   196    34   2.1   174   135  17.1   102 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1   200 112.2 121.1   104   186 102.1   109   191   1.1 196.1  82.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1   151 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009147829               0.669479084               0.897875965 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.012763539             0.005577467            -0.224280172 
#>   grade_iii, Cure model 
#>             0.131494156 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 129   23.41      1  53        1         0
#> 51    18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 43    12.10      1  61        0         1
#> 183    9.24      1  67        1         0
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 184   17.77      1  38        0         0
#> 70     7.38      1  30        1         0
#> 192.1 16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 188   16.16      1  46        0         1
#> 40    18.00      1  28        1         0
#> 41    18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 32    20.90      1  37        1         0
#> 183.1  9.24      1  67        1         0
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 32.1  20.90      1  37        1         0
#> 70.1   7.38      1  30        1         0
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 134   17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 40.1  18.00      1  28        1         0
#> 78.1  23.88      1  43        0         0
#> 149    8.37      1  33        1         0
#> 40.2  18.00      1  28        1         0
#> 55    19.34      1  69        0         1
#> 88    18.37      1  47        0         0
#> 76.1  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 168   23.72      1  70        0         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 78.2  23.88      1  43        0         0
#> 117   17.46      1  26        0         1
#> 177   12.53      1  75        0         0
#> 124.1  9.73      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 79.1  16.23      1  54        1         0
#> 69    23.23      1  25        0         1
#> 177.1 12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 181.1 16.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 117.1 17.46      1  26        0         1
#> 123   13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 179   18.63      1  42        0         0
#> 81    14.06      1  34        0         0
#> 77     7.27      1  67        0         1
#> 100.1 16.07      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 149.1  8.37      1  33        1         0
#> 68    20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 68.1  20.62      1  44        0         0
#> 197.1 21.60      1  69        1         0
#> 78.3  23.88      1  43        0         0
#> 113.1 22.86      1  34        0         0
#> 127    3.53      1  62        0         1
#> 56.1  12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 76.2  19.22      1  54        0         1
#> 76.3  19.22      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 128.1 20.35      1  35        0         1
#> 36.1  21.19      1  48        0         1
#> 192.2 16.44      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 89    11.44      1  NA        0         0
#> 177.2 12.53      1  75        0         0
#> 124.2  9.73      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 175.2 21.91      1  43        0         0
#> 175.3 21.91      1  43        0         0
#> 179.1 18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 52.2  10.42      1  52        0         1
#> 145   10.07      1  65        1         0
#> 24    23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 192.3 16.44      1  31        1         0
#> 101.1  9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 151   24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 94.1  24.00      0  51        0         1
#> 121.1 24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 94.2  24.00      0  51        0         1
#> 126.1 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 147   24.00      0  76        1         0
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 141.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 28.1  24.00      0  67        1         0
#> 94.3  24.00      0  51        0         1
#> 126.2 24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 84.1  24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 38.1  24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 174.1 24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 48.1  24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 126.3 24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 28.2  24.00      0  67        1         0
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 74.1  24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 186.1 24.00      0  45        1         0
#> 73.2  24.00      0  NA        0         1
#> 84.2  24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 116.2 24.00      0  58        0         1
#> 1.1   24.00      0  23        1         0
#> 87.2  24.00      0  27        0         0
#> 161.1 24.00      0  45        0         0
#> 73.3  24.00      0  NA        0         1
#> 20    24.00      0  46        1         0
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 84.3  24.00      0  39        0         1
#> 147.2 24.00      0  76        1         0
#> 148.1 24.00      0  61        1         0
#> 109.1 24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0128         NA        NA      NA
#> 2 age, Cure model          0.00558        NA        NA      NA
#> 3 grade_ii, Cure model    -0.224          NA        NA      NA
#> 4 grade_iii, Cure model    0.131          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00915        NA        NA      NA
#> 2 grade_ii, Survival model   0.669          NA        NA      NA
#> 3 grade_iii, Survival model  0.898          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.012764          0.005577         -0.224280          0.131494  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 258.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.012763539      0.005577467     -0.224280172      0.131494156 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009147829      0.669479084      0.897875965 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79468409 0.66569994 0.87584488 0.36354088 0.91422045 0.30307913
#>   [7] 0.71901115 0.63319917 0.92656022 0.96849821 0.78408132 0.84392375
#>  [13] 0.75567113 0.98624834 0.79468409 0.52605959 0.82963004 0.73169813
#>  [19] 0.72540501 0.77855926 0.88025777 0.15776002 0.55891705 0.96849821
#>  [25] 0.85322734 0.85322734 0.55891705 0.98624834 0.60697889 0.50129779
#>  [31] 0.74971357 0.53795766 0.73169813 0.15776002 0.97923950 0.73169813
#>  [37] 0.65798667 0.71236650 0.66569994 0.83443036 0.93450107 0.93847379
#>  [43] 0.27199293 0.39915666 0.81990349 0.57859283 0.76160924 0.64160557
#>  [49] 0.15776002 0.76739189 0.89750896 0.92246562 0.81990349 0.34458063
#>  [55] 0.89750896 0.86693506 0.95744532 0.64993219 0.78408132 0.39915666
#>  [61] 0.43034218 0.94991485 0.76739189 0.89324622 0.96482599 0.69235266
#>  [67] 0.88460480 0.99317984 0.83443036 0.93847379 0.86239705 0.44587062
#>  [73] 0.70568840 0.97923950 0.58820775 0.91006104 0.58820775 0.50129779
#>  [79] 0.15776002 0.36354088 0.99660933 0.91422045 0.81489454 0.66569994
#>  [85] 0.66569994 0.30307913 0.87142001 0.60697889 0.53795766 0.79468409
#>  [91] 0.92656022 0.89750896 0.44587062 0.44587062 0.44587062 0.69235266
#>  [97] 0.88894404 0.93847379 0.95369897 0.07784394 0.84860876 0.62446297
#> [103] 0.79468409 0.95744532 0.97568697 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   192    76   157   113    56   129    51   158    43   183   181    26   184 
#> 16.44 19.22 15.10 22.86 12.21 23.41 18.23 20.14 12.10  9.24 16.46 15.77 17.77 
#>    70 192.1   153   188    40    41   106    13    78    32 183.1     6   6.1 
#>  7.38 16.44 21.33 16.16 18.00 18.02 16.67 14.34 23.88 20.90  9.24 15.64 15.64 
#>  32.1  70.1   128   197   134    36  40.1  78.1   149  40.2    55    88  76.1 
#> 20.90  7.38 20.35 21.60 17.81 21.19 18.00 23.88  8.37 18.00 19.34 18.37 19.22 
#>   100    10    52   168    63    79   190   110   105  78.2   117   177    49 
#> 16.07 10.53 10.42 23.72 22.77 16.23 20.81 17.56 19.75 23.88 17.46 12.53 12.19 
#>  79.1    69 177.1   167   101   170 181.1  63.1    66    93 117.1   123   187 
#> 16.23 23.23 12.53 15.55  9.97 19.54 16.46 22.77 22.13 10.33 17.46 13.00  9.92 
#>   179    81    77 100.1  52.1    39   175     8 149.1    68    37  68.1 197.1 
#> 18.63 14.06  7.27 16.07 10.42 15.59 21.91 18.43  8.37 20.62 12.52 20.62 21.60 
#>  78.3 113.1   127  56.1     5  76.2  76.3 129.1    29 128.1  36.1 192.2  43.1 
#> 23.88 22.86  3.53 12.21 16.43 19.22 19.22 23.41 15.45 20.35 21.19 16.44 12.10 
#> 177.2 175.1 175.2 175.3 179.1    60  52.2   145    24   125   150 192.3 101.1 
#> 12.53 21.91 21.91 21.91 18.63 13.15 10.42 10.07 23.89 15.65 20.33 16.44  9.97 
#>    16   151    80   103   148   120     9    22   121    94   126  94.1 121.1 
#>  8.71 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   173  94.2 126.1    65   161    28    74     7    11   147   119    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   104  65.1    38    47    87   162    82  82.1   116   141    48    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 116.1    19  11.1   186    67     1 141.1  28.1  94.3 126.2    44  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   163   178  38.1   174   109    64 174.1 147.1  48.1   172 126.3  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.2   185   200  74.1    72 186.1  84.2   146 116.2   1.1  87.2 161.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    75  84.3 147.2 148.1 109.1   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004822403               0.455995244               0.460724098 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.52463882              0.02295411              0.52151117 
#>   grade_iii, Cure model 
#>              1.22342736 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 155   13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 153   21.33      1  55        1         0
#> 61    10.12      1  36        0         1
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 106   16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 89    11.44      1  NA        0         0
#> 61.1  10.12      1  36        0         1
#> 153.1 21.33      1  55        1         0
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 18    15.21      1  49        1         0
#> 171   16.57      1  41        0         1
#> 70     7.38      1  30        1         0
#> 43    12.10      1  61        0         1
#> 197   21.60      1  69        1         0
#> 100   16.07      1  60        0         0
#> 32    20.90      1  37        1         0
#> 155.1 13.08      1  26        0         0
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 88    18.37      1  47        0         0
#> 70.1   7.38      1  30        1         0
#> 70.2   7.38      1  30        1         0
#> 128.1 20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 195.1 11.76      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 199.1 19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 86.1  23.81      1  58        0         1
#> 155.2 13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 51.1  18.23      1  83        0         1
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 107   11.18      1  54        1         0
#> 59.1  10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 194   22.40      1  38        0         1
#> 184.1 17.77      1  38        0         0
#> 5     16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 23.1  16.92      1  61        0         0
#> 13.2  14.34      1  54        0         1
#> 41.1  18.02      1  40        1         0
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 96    14.54      1  33        0         1
#> 16.1   8.71      1  71        0         1
#> 70.3   7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 117   17.46      1  26        0         1
#> 61.2  10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 18.1  15.21      1  49        1         0
#> 32.1  20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 199.2 19.81      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 130.1 16.47      1  53        0         1
#> 41.2  18.02      1  40        1         0
#> 77.1   7.27      1  67        0         1
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 68.2  20.62      1  44        0         0
#> 50.1  10.02      1  NA        1         0
#> 51.2  18.23      1  83        0         1
#> 117.1 17.46      1  26        0         1
#> 114.2 13.68      1  NA        0         0
#> 57.1  14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 37    12.52      1  57        1         0
#> 199.3 19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 91.1   5.33      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 77.2   7.27      1  67        0         1
#> 182   24.00      0  35        0         0
#> 21    24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 102.1 24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 141   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 21.1  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 3.1   24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 46.1  24.00      0  71        0         0
#> 53.1  24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 1.1   24.00      0  23        1         0
#> 12.1  24.00      0  63        0         0
#> 162.2 24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 33    24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 147   24.00      0  76        1         0
#> 33.1  24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 152.1 24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 173.1 24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 196.2 24.00      0  19        0         0
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 160.1 24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 3.2   24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 73.1  24.00      0  NA        0         1
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 31.2  24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 22.2  24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 196.3 24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.52          NA        NA      NA
#> 2 age, Cure model           0.0230        NA        NA      NA
#> 3 grade_ii, Cure model      0.522         NA        NA      NA
#> 4 grade_iii, Cure model     1.22          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00482        NA        NA      NA
#> 2 grade_ii, Survival model   0.456          NA        NA      NA
#> 3 grade_iii, Survival model  0.461          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.52464           0.02295           0.52151           1.22343  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250.5 
#> Residual Deviance: 233.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.52463882       0.02295411       0.52151117       1.22342736 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004822403      0.455995244      0.460724098 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.43725971 0.15504446 0.20048520 0.72737969 0.29914183 0.13166566
#>   [7] 0.85233028 0.23327314 0.48872934 0.50925629 0.38569705 0.16697071
#>  [13] 0.05201528 0.85233028 0.13166566 0.69856895 0.60980306 0.26601593
#>  [19] 0.10598001 0.25497415 0.88984926 0.61975455 0.51957372 0.91797419
#>  [25] 0.78541421 0.11891303 0.59982933 0.17869178 0.72737969 0.90858908
#>  [31] 0.33195961 0.91797419 0.91797419 0.23327314 0.07853094 0.82368261
#>  [37] 0.75632567 0.54996801 0.35399461 0.05201528 0.72737969 0.00693620
#>  [43] 0.35399461 0.84276161 0.67904759 0.31001625 0.79505517 0.52982989
#>  [49] 0.09257814 0.43725971 0.56990476 0.69856895 0.20048520 0.63934448
#>  [55] 0.48872934 0.69856895 0.38569705 0.81412092 0.76606536 0.54996801
#>  [61] 0.98174850 0.88040438 0.66913655 0.88984926 0.91797419 0.64924665
#>  [67] 0.45804778 0.85233028 0.41663597 0.61975455 0.17869178 0.47846686
#>  [73] 0.82368261 0.57991954 0.02305472 0.95440722 0.32096110 0.52982989
#>  [79] 0.38569705 0.95440722 0.41663597 0.02305472 0.20048520 0.35399461
#>  [85] 0.45804778 0.67904759 0.28820437 0.77575176 0.34303255 0.98174850
#>  [91] 0.79505517 0.27717413 0.65917357 0.58989710 0.95440722 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000
#> 
#> $Time
#>   184    36    68   155    97   153    61   128    23   106    41    90    86 
#> 17.77 21.19 20.62 13.08 19.14 21.33 10.12 20.35 16.92 16.67 18.02 20.94 23.81 
#>  61.1 153.1    13    29   105   136   158    16    18   171    70    43   197 
#> 10.12 21.33 14.34 15.45 19.75 21.83 20.14  8.71 15.21 16.57  7.38 12.10 21.60 
#>   100    32 155.1   149    88  70.1  70.2 128.1   129    10   123   181    51 
#> 16.07 20.90 13.08  8.37 18.37  7.38  7.38 20.35 23.41 10.53 13.00 16.46 18.23 
#>  86.1 155.2    24  51.1    52    57   179   107   130   194 184.1     5  13.1 
#> 23.81 13.08 23.89 18.23 10.42 14.46 18.63 11.18 16.47 22.40 17.77 16.43 14.34 
#>  68.1   157  23.1  13.2  41.1   159   154 181.1    91   183    96  16.1  70.3 
#> 20.62 15.10 16.92 14.34 18.02 10.55 12.63 16.46  5.33  9.24 14.54  8.71  7.38 
#>   180   117  61.2   134  18.1  32.1   111  10.1    79    78    77     8 130.1 
#> 14.82 17.46 10.12 17.81 15.21 20.90 17.45 10.53 16.23 23.88  7.27 18.43 16.47 
#>  41.2  77.1 134.1  78.1  68.2  51.2 117.1  57.1    76    37   108  91.1 107.1 
#> 18.02  7.27 17.81 23.88 20.62 18.23 17.46 14.46 19.22 12.52 18.29  5.33 11.18 
#>   170   133   188  77.2   182    21    80     1     3    38   102 102.1    65 
#> 19.54 14.65 16.16  7.27 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    53    17    12   196   131   162    84     9    82   141    22  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    67    31   119   3.1 162.1    94    46   152 141.1 196.1  46.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198     2   151   173    19   1.1  12.1 162.2   142    11    75   178   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    54   200   147  33.1  84.1   137   176 152.1  22.1   120 173.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143 196.2    35   163    44   160  75.1 160.1 119.1    27     7   3.2  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   126    48  48.1  31.2 182.1   193  22.2 122.1    83   165 196.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001671069               0.289684758              -0.079590326 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.32996780              0.01890509             -0.84828859 
#>   grade_iii, Cure model 
#>             -0.06339078 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 24    23.89      1  38        0         0
#> 106   16.67      1  49        1         0
#> 134   17.81      1  47        1         0
#> 150   20.33      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 158   20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 29    15.45      1  68        1         0
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 190   20.81      1  42        1         0
#> 99.1  21.19      1  38        0         1
#> 25     6.32      1  34        1         0
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 113.1 22.86      1  34        0         0
#> 66    22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 58    19.34      1  39        0         0
#> 43.1  12.10      1  61        0         1
#> 99.2  21.19      1  38        0         1
#> 99.3  21.19      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 58.1  19.34      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 13.1  14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 158.1 20.14      1  74        1         0
#> 14    12.89      1  21        0         0
#> 133.1 14.65      1  57        0         0
#> 154   12.63      1  20        1         0
#> 97    19.14      1  65        0         1
#> 49    12.19      1  48        1         0
#> 68.1  20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 150.1 20.33      1  48        0         0
#> 111   17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 195   11.76      1  NA        1         0
#> 164.1 23.60      1  76        0         1
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 81.1  14.06      1  34        0         0
#> 51    18.23      1  83        0         1
#> 124    9.73      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 108   18.29      1  39        0         1
#> 114   13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 157   15.10      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 110   17.56      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 150.2 20.33      1  48        0         0
#> 170.1 19.54      1  43        0         1
#> 133.2 14.65      1  57        0         0
#> 124.1  9.73      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 99.4  21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 139   21.49      1  63        1         0
#> 170.2 19.54      1  43        0         1
#> 130   16.47      1  53        0         1
#> 157.1 15.10      1  47        0         0
#> 180.2 14.82      1  37        0         0
#> 167   15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 6.1   15.64      1  39        0         0
#> 107.1 11.18      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 13.2  14.34      1  54        0         1
#> 130.1 16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 69    23.23      1  25        0         1
#> 129   23.41      1  53        1         0
#> 88.2  18.37      1  47        0         0
#> 149.1  8.37      1  33        1         0
#> 66.1  22.13      1  53        0         0
#> 69.1  23.23      1  25        0         1
#> 192.1 16.44      1  31        1         0
#> 164.2 23.60      1  76        0         1
#> 51.2  18.23      1  83        0         1
#> 77     7.27      1  67        0         1
#> 166   19.98      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 26    15.77      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 165.1 24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 31.1  24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 84.1  24.00      0  39        0         1
#> 64    24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 156.1 24.00      0  50        1         0
#> 116.1 24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 137   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 1.1   24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 121   24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 135.1 24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 27.2  24.00      0  63        1         0
#> 174.1 24.00      0  49        1         0
#> 73.1  24.00      0  NA        0         1
#> 174.2 24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 174.3 24.00      0  49        1         0
#> 38.1  24.00      0  31        1         0
#> 135.2 24.00      0  58        1         0
#> 185   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 20.1  24.00      0  46        1         0
#> 11    24.00      0  42        0         1
#> 151   24.00      0  42        0         0
#> 143   24.00      0  51        0         0
#> 156.2 24.00      0  50        1         0
#> 135.3 24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 1.2   24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 193.1 24.00      0  45        0         1
#> 178   24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 3.2   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 82    24.00      0  34        0         0
#> 103.2 24.00      0  56        1         0
#> 126.1 24.00      0  48        0         0
#> 116.2 24.00      0  58        0         1
#> 12.1  24.00      0  63        0         0
#> 186   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 174.4 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.330         NA        NA      NA
#> 2 age, Cure model           0.0189        NA        NA      NA
#> 3 grade_ii, Cure model     -0.848         NA        NA      NA
#> 4 grade_iii, Cure model    -0.0634        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00167        NA        NA      NA
#> 2 grade_ii, Survival model   0.290          NA        NA      NA
#> 3 grade_iii, Survival model -0.0796         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.32997           0.01891          -0.84829          -0.06339  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.32996780       0.01890509      -0.84828859      -0.06339078 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001671069      0.289684758     -0.079590326 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84970632 0.19637410 0.38342264 0.11588821 0.01757176 0.56951598
#>   [7] 0.53277672 0.31646926 0.84970632 0.84114648 0.90039586 0.88355347
#>  [13] 0.34531531 0.95884348 0.75501562 0.67695445 0.66810285 0.29678299
#>  [19] 0.72915608 0.44924879 0.27699711 0.19637410 0.98354657 0.24579199
#>  [25] 0.94217627 0.11588821 0.15144582 0.64138088 0.70320467 0.41141083
#>  [31] 0.88355347 0.19637410 0.19637410 0.44924879 0.41141083 0.70320467
#>  [37] 0.91709390 0.25658046 0.75501562 0.37386239 0.54197140 0.99177412
#>  [43] 0.34531531 0.79817328 0.72915608 0.80687108 0.43974235 0.86670384
#>  [49] 0.29678299 0.82403257 0.93379074 0.31646926 0.56033585 0.04491477
#>  [55] 0.04491477 0.78086577 0.60581933 0.78086577 0.48647675 0.25658046
#>  [61] 0.51417892 0.47702839 0.60581933 0.68575427 0.91709390 0.55115588
#>  [67] 0.27699711 0.31646926 0.38342264 0.72915608 0.80687108 0.19637410
#>  [73] 0.43022987 0.59670946 0.17405869 0.52351085 0.18537884 0.38342264
#>  [79] 0.57863001 0.68575427 0.70320467 0.65919260 0.13951446 0.64138088
#>  [85] 0.90039586 0.48647675 0.75501562 0.57863001 0.95052543 0.09199556
#>  [91] 0.07930455 0.44924879 0.95884348 0.15144582 0.09199556 0.60581933
#>  [97] 0.04491477 0.48647675 0.97529043 0.36427630 0.01757176 0.82403257
#> [103] 0.63239540 0.86670384 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    56    99   170   113    24   106   134   150  56.1    37   107    43   158 
#> 12.21 21.19 19.54 22.86 23.89 16.67 17.81 20.33 12.21 12.52 11.18 12.10 20.14 
#>   149    13    18    29    68   133    88   190  99.1    25    90   145 113.1 
#>  8.37 14.34 15.21 15.45 20.62 14.65 18.37 20.81 21.19  6.32 20.94 10.07 22.86 
#>    66     6   180    58  43.1  99.2  99.3  88.1  58.1 180.1   159    32  13.1 
#> 22.13 15.64 14.82 19.34 12.10 21.19 21.19 18.37 19.34 14.82 10.55 20.90 14.34 
#>   105   184   127 158.1    14 133.1   154    97    49  68.1   177    52 150.1 
#> 19.75 17.77  3.53 20.14 12.89 14.65 12.63 19.14 12.19 20.62 12.53 10.42 20.33 
#>   111   164 164.1    81   192  81.1    51  32.1    41   108    85   157 159.1 
#> 17.45 23.60 23.60 14.06 16.44 14.06 18.23 20.90 18.02 18.29 16.44 15.10 10.55 
#>   110 190.1 150.2 170.1 133.2 154.1  99.4    76   181   197    40   139 170.2 
#> 17.56 20.81 20.33 19.54 14.65 12.63 21.19 19.22 16.46 21.60 18.00 21.49 19.54 
#>   130 157.1 180.2   167    63   6.1 107.1  51.1  13.2 130.1   187    69   129 
#> 16.47 15.10 14.82 15.55 22.77 15.64 11.18 18.23 14.34 16.47  9.92 23.23 23.41 
#>  88.2 149.1  66.1  69.1 192.1 164.2  51.2    77   166  24.1 177.1    26  49.1 
#> 18.37  8.37 22.13 23.23 16.44 23.60 18.23  7.27 19.98 23.89 12.53 15.77 12.19 
#>   165     9     7    95    17    31   109   141   156   152    83    28    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35    84 165.1     3 141.1     1   112    47   196  31.1   3.1    19   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1    64   173 156.1 116.1   132 132.1    20    27    12   137   174   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    98   135   121  27.1    53   191 135.1   163   193    38  27.2 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.2   103   160 137.1 174.3  38.1 135.2   185    65    67  20.1    11   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143 156.2 135.3   144   1.2    87 103.1 193.1   178  47.1   3.2  64.1    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2 126.1 116.2  12.1   186    34 174.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01662512                1.27017319                0.38983641 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.242727782             0.006399151            -0.167473484 
#>   grade_iii, Cure model 
#>             0.628129313 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 133   14.65      1  57        0         0
#> 105   19.75      1  60        0         0
#> 15    22.68      1  48        0         0
#> 177   12.53      1  75        0         0
#> 179   18.63      1  42        0         0
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 56    12.21      1  60        0         0
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 8     18.43      1  32        0         0
#> 183    9.24      1  67        1         0
#> 113.1 22.86      1  34        0         0
#> 15.1  22.68      1  48        0         0
#> 177.1 12.53      1  75        0         0
#> 192   16.44      1  31        1         0
#> 42    12.43      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 5.1   16.43      1  51        0         1
#> 175.1 21.91      1  43        0         0
#> 5.2   16.43      1  51        0         1
#> 78.1  23.88      1  43        0         0
#> 127    3.53      1  62        0         1
#> 183.2  9.24      1  67        1         0
#> 70     7.38      1  30        1         0
#> 124    9.73      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 127.1  3.53      1  62        0         1
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 177.2 12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 113.2 22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 68    20.62      1  44        0         0
#> 125   15.65      1  67        1         0
#> 194   22.40      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 90.1  20.94      1  50        0         1
#> 69    23.23      1  25        0         1
#> 100   16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 192.1 16.44      1  31        1         0
#> 188   16.16      1  46        0         1
#> 79.1  16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 133.1 14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 91     5.33      1  61        0         1
#> 128   20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 184   17.77      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 39    15.59      1  37        0         1
#> 158   20.14      1  74        1         0
#> 107.1 11.18      1  54        1         0
#> 49    12.19      1  48        1         0
#> 37    12.52      1  57        1         0
#> 18    15.21      1  49        1         0
#> 170.1 19.54      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 91.1   5.33      1  61        0         1
#> 179.2 18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 40    18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 15.2  22.68      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 188.1 16.16      1  46        0         1
#> 183.3  9.24      1  67        1         0
#> 113.3 22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 89    11.44      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 199   19.81      1  NA        0         1
#> 177.3 12.53      1  75        0         0
#> 40.1  18.00      1  28        1         0
#> 159.2 10.55      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 92.1  22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 188.2 16.16      1  46        0         1
#> 51    18.23      1  83        0         1
#> 128.1 20.35      1  35        0         1
#> 13.1  14.34      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 114.1 13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 78.2  23.88      1  43        0         0
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 137   24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 102.1 24.00      0  49        0         0
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 102.2 24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 146   24.00      0  63        1         0
#> 200   24.00      0  64        0         0
#> 176   24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 156   24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 102.3 24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 147.1 24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 64.1  24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 156.1 24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 1.1   24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 138.1 24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 160.2 24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 116.1 24.00      0  58        0         1
#> 200.1 24.00      0  64        0         0
#> 73.1  24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 178   24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 73.2  24.00      0  NA        0         1
#> 121.1 24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 120.2 24.00      0  68        0         1
#> 147.2 24.00      0  76        1         0
#> 160.3 24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 138.2 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 121.2 24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.243          NA        NA      NA
#> 2 age, Cure model          0.00640        NA        NA      NA
#> 3 grade_ii, Cure model    -0.167          NA        NA      NA
#> 4 grade_iii, Cure model    0.628          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0166        NA        NA      NA
#> 2 grade_ii, Survival model    1.27          NA        NA      NA
#> 3 grade_iii, Survival model   0.390         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.242728          0.006399         -0.167473          0.628129  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.242727782      0.006399151     -0.167473484      0.628129313 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01662512       1.27017319       0.38983641 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9219082 0.7221575 0.4889165 0.9431348 0.7629649 0.4217913 0.9702638
#>   [8] 0.8317455 0.5908532 0.9402392 0.5638554 0.8675498 0.7293783 0.3817398
#>  [15] 0.6263360 0.9597943 0.9051906 0.7148110 0.7818391 0.9777577 0.4217913
#>  [22] 0.4889165 0.9431348 0.8592192 0.9570688 0.9777577 0.1991124 0.8675498
#>  [29] 0.5638554 0.8675498 0.1991124 0.9956782 0.9777577 0.9890733 0.3247710
#>  [36] 0.6550078 0.6263360 0.9956782 0.7431988 0.8795921 0.9431348 0.9651673
#>  [43] 0.8414291 0.9702638 0.7431988 0.4217913 0.8169350 0.6730001 0.9016914
#>  [50] 0.5494629 0.7629649 0.6550078 0.3546663 0.8980531 0.5343676 0.8592192
#>  [57] 0.8871067 0.8795921 0.9155029 0.9219082 0.8503866 0.9912967 0.6819276
#>  [64] 0.9342962 0.8268161 0.9281564 0.8414291 0.8004107 0.9086776 0.7073711
#>  [71] 0.9651673 0.9625067 0.9543250 0.9187449 0.7293783 0.8169350 0.9912967
#>  [78] 0.7629649 0.6989391 0.8061713 0.7881460 0.6155719 0.4889165 0.6263360
#>  [85] 0.8871067 0.9777577 0.4217913 0.9373077 0.9868253 0.9431348 0.8061713
#>  [92] 0.9702638 0.8317455 0.3817398 0.7564569 0.8871067 0.7943935 0.6819276
#>  [99] 0.9281564 0.5908532 0.9121415 0.8548322 0.1991124 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   133   105    15   177   179   113   159   117   136   154   175     5   170 
#> 14.65 19.75 22.68 12.53 18.63 22.86 10.55 17.46 21.83 12.63 21.91 16.43 19.54 
#>    92    99    56     6   166     8   183 113.1  15.1 177.1   192    42 183.1 
#> 22.92 21.19 12.21 15.64 19.98 18.43  9.24 22.86 22.68 12.53 16.44 12.43  9.24 
#>    78   5.1 175.1   5.2  78.1   127 183.2    70   164    90    36 127.1    58 
#> 23.88 16.43 21.91 16.43 23.88  3.53  9.24  7.38 23.60 20.94 21.19  3.53 19.34 
#>    79 177.2   107   106 159.1    55 113.2   134    68   125   194 179.1  90.1 
#> 16.23 12.53 11.18 16.67 10.55 19.34 22.86 17.81 20.62 15.65 22.40 18.63 20.94 
#>    69   100   169 192.1   188  79.1    29 133.1   171    91   128   123   184 
#> 23.23 16.07 22.41 16.44 16.16 16.23 15.45 14.65 16.57  5.33 20.35 13.00 17.77 
#>    13 106.1    41    39   158 107.1    49    37    18 170.1 134.1  91.1 179.2 
#> 14.34 16.67 18.02 15.59 20.14 11.18 12.19 12.52 15.21 19.54 17.81  5.33 18.63 
#>   150    40    88   153  15.2  36.1 188.1 183.3 113.3   140   149 177.3  40.1 
#> 20.33 18.00 18.37 21.33 22.68 21.19 16.16  9.24 22.86 12.68  8.37 12.53 18.00 
#> 159.2 117.1  92.1    76 188.2    51 128.1  13.1 136.1   167   130  78.2   151 
#> 10.55 17.46 22.92 19.22 16.16 18.23 20.35 14.34 21.83 15.55 16.47 23.88 24.00 
#>   193     3   132   116   102   137    21   143    87   144   126 126.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    34    65     7    64 102.1   160   162   120   131    28   182 102.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   147   146   200   176    48    72   112   156 160.1 102.3   142  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104    44 147.1   121   152  64.1    95    27 162.1    17    47    82 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   1.1   138   148    83   119    62    20    46 138.1  34.1 160.2  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 116.1 200.1    11   178 120.1 121.1     9    19 120.2 147.2 160.3 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2   103 121.2    71  17.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003665037               0.416330772               0.540919200 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.558958259             0.006391241             0.124927505 
#>   grade_iii, Cure model 
#>             1.036670790 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 169   22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 6     15.64      1  39        0         0
#> 96    14.54      1  33        0         1
#> 99.1  21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 197   21.60      1  69        1         0
#> 32    20.90      1  37        1         0
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 170   19.54      1  43        0         1
#> 184   17.77      1  38        0         0
#> 15.1  22.68      1  48        0         0
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 4.1   17.64      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 59    10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 128   20.35      1  35        0         1
#> 16     8.71      1  71        0         1
#> 108   18.29      1  39        0         1
#> 128.1 20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 6.1   15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 66.1  22.13      1  53        0         0
#> 15.2  22.68      1  48        0         0
#> 183    9.24      1  67        1         0
#> 117   17.46      1  26        0         1
#> 96.1  14.54      1  33        0         1
#> 133   14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 150   20.33      1  48        0         0
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 195.1 11.76      1  NA        1         0
#> 128.2 20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 61    10.12      1  36        0         1
#> 97    19.14      1  65        0         1
#> 59.1  10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 91.1   5.33      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 130   16.47      1  53        0         1
#> 150.1 20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 110.1 17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 36.1  21.19      1  48        0         1
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 145   10.07      1  65        1         0
#> 63    22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 188   16.16      1  46        0         1
#> 199   19.81      1  NA        0         1
#> 150.2 20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 150.3 20.33      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 106.1 16.67      1  49        1         0
#> 63.1  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 106.2 16.67      1  49        1         0
#> 5.1   16.43      1  51        0         1
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 55.1  19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 4.2   17.64      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 99.2  21.19      1  38        0         1
#> 157   15.10      1  47        0         0
#> 36.2  21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 194.2 22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 166   19.98      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 159.1 10.55      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 124    9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 106.3 16.67      1  49        1         0
#> 45.2  17.42      1  54        0         1
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 172   24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 47    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 2.1   24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 22.1  24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 142   24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 185   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 87.1  24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 47.2  24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 95.1  24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 80.1  24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 95.2  24.00      0  68        0         1
#> 118.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 31.1  24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 35.2  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 19    24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 118.2 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 71.2  24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 103.1 24.00      0  56        1         0
#> 116.1 24.00      0  58        0         1
#> 144.1 24.00      0  28        0         1
#> 120.1 24.00      0  68        0         1
#> 2.2   24.00      0   9        0         0
#> 160   24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 109.1 24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 116.2 24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 87.2  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.559          NA        NA      NA
#> 2 age, Cure model          0.00639        NA        NA      NA
#> 3 grade_ii, Cure model     0.125          NA        NA      NA
#> 4 grade_iii, Cure model    1.04           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00367        NA        NA      NA
#> 2 grade_ii, Survival model   0.416          NA        NA      NA
#> 3 grade_iii, Survival model  0.541          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.558958          0.006391          0.124928          1.036671  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.558958259      0.006391241      0.124927505      1.036670790 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003665037      0.416330772      0.540919200 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.42699731 0.98349941 0.29021481 0.70618807 0.90229907 0.13241400
#>   [7] 0.07466435 0.81432623 0.84643267 0.42699731 0.80786800 0.24728613
#>  [13] 0.39282072 0.48227708 0.42699731 0.91423709 0.58010073 0.67640991
#>  [19] 0.24728613 0.34270673 0.66876798 0.62937284 0.30515201 0.78178371
#>  [25] 0.15822539 0.83359304 0.87776076 0.50133610 0.95531157 0.64538205
#>  [31] 0.50133610 0.41567729 0.81432623 0.68403896 0.71347201 0.34270673
#>  [37] 0.24728613 0.94953089 0.69882511 0.84643267 0.84001856 0.17962145
#>  [43] 0.58869264 0.52792398 0.38052989 0.49182274 0.50133610 0.86531021
#>  [49] 0.74143662 0.85903377 0.71347201 0.92616227 0.62134177 0.96666966
#>  [55] 0.98349941 0.30515201 0.07466435 0.77509167 0.52792398 0.73440760
#>  [61] 0.68403896 0.19907243 0.42699731 0.36782434 0.99451306 0.93206767
#>  [67] 0.21673080 0.87153726 0.80139705 0.52792398 0.89622448 0.52792398
#>  [73] 0.39282072 0.74143662 0.21673080 0.79487167 0.88395650 0.61318636
#>  [79] 0.74143662 0.78178371 0.76833629 0.92022050 0.58869264 0.56263007
#>  [85] 0.93793868 0.66105542 0.63738689 0.97234234 0.03128100 0.42699731
#>  [91] 0.82716033 0.42699731 0.95531157 0.30515201 0.58869264 0.57137824
#>  [97] 0.97234234 0.90229907 0.93793868 0.65328116 0.89011475 0.74143662
#> [103] 0.71347201 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    99    91   169   111   159    86    78     6    96  99.1   100    15   197 
#> 21.19  5.33 22.41 17.45 10.55 23.81 23.88 15.64 14.54 21.19 16.07 22.68 21.60 
#>    32    36    10   170   184  15.1    66   134   179   194     5   164   180 
#> 20.90 21.19 10.53 19.54 17.77 22.68 22.13 17.81 18.63 22.40 16.43 23.60 14.82 
#>   154   128    16   108 128.1   153   6.1   110    45  66.1  15.2   183   117 
#> 12.63 20.35  8.71 18.29 20.35 21.33 15.64 17.56 17.42 22.13 22.68  9.24 17.46 
#>  96.1   133   129    55   150   136    68 128.2    13   106    57  45.1    61 
#> 14.54 14.65 23.41 19.34 20.33 21.83 20.62 20.35 14.34 16.67 14.46 17.42 10.12 
#>    97    70  91.1 194.1  78.1   130 150.1    23 110.1    92  36.1   175   127 
#> 19.14  7.38  5.33 22.40 23.88 16.47 20.33 16.92 17.56 22.92 21.19 21.91  3.53 
#>   145    63    14   188 150.2   107 150.3 197.1 106.1  63.1    79    37    76 
#> 10.07 22.77 12.89 16.16 20.33 11.18 20.33 21.60 16.67 22.77 16.23 12.52 19.22 
#> 106.2   5.1   171    93  55.1   158   101    40    88    77    24  99.2   157 
#> 16.67 16.43 16.57 10.33 19.34 20.14  9.97 18.00 18.37  7.27 23.89 21.19 15.10 
#>  36.2  16.1 194.2    58   166  77.1 159.1 101.1    51    43 106.3  45.2    64 
#> 21.19  8.71 22.40 19.34 19.98  7.27 10.55  9.97 18.23 12.10 16.67 17.42 24.00 
#>    12   172    84    71  12.1    35     2    47   174    22  47.1    87   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   2.1   156    53  22.1   109   103   142  71.1    80    94    34   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    46   186   120   147   191     9   137  87.1   118  47.2    95     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   138   112  95.1   144  80.1    20  95.2 118.1    31 172.1  35.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1   132    75  35.2    62 174.1    19   119   151 118.2   143  71.2    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   116   122 151.1 103.1 116.1 144.1 120.1   2.2   160   3.1 132.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   148 142.1 116.2   102   198  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              8.953913e-05              2.610817e-02              5.070032e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.52800387              0.01395291             -0.33505624 
#>   grade_iii, Cure model 
#>              0.45267318 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 81    14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 69    23.23      1  25        0         1
#> 157   15.10      1  47        0         0
#> 30    17.43      1  78        0         0
#> 42    12.43      1  49        0         1
#> 134   17.81      1  47        1         0
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 52    10.42      1  52        0         1
#> 55    19.34      1  69        0         1
#> 171   16.57      1  41        0         1
#> 26    15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 159   10.55      1  50        0         1
#> 153   21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 36    21.19      1  48        0         1
#> 140   12.68      1  59        1         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 81.1  14.06      1  34        0         0
#> 134.1 17.81      1  47        1         0
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 24    23.89      1  38        0         0
#> 166   19.98      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 153.2 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 159.2 10.55      1  50        0         1
#> 88    18.37      1  47        0         0
#> 145   10.07      1  65        1         0
#> 197   21.60      1  69        1         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 181   16.46      1  45        0         1
#> 30.1  17.43      1  78        0         0
#> 61    10.12      1  36        0         1
#> 113.1 22.86      1  34        0         0
#> 140.1 12.68      1  59        1         0
#> 42.2  12.43      1  49        0         1
#> 124    9.73      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 93.1  10.33      1  52        0         1
#> 170   19.54      1  43        0         1
#> 111.1 17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 55.1  19.34      1  69        0         1
#> 190   20.81      1  42        1         0
#> 30.2  17.43      1  78        0         0
#> 25     6.32      1  34        1         0
#> 30.3  17.43      1  78        0         0
#> 108.1 18.29      1  39        0         1
#> 61.1  10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 63.1  22.77      1  31        1         0
#> 129   23.41      1  53        1         0
#> 127.1  3.53      1  62        0         1
#> 158   20.14      1  74        1         0
#> 8     18.43      1  32        0         0
#> 188.1 16.16      1  46        0         1
#> 127.2  3.53      1  62        0         1
#> 155.1 13.08      1  26        0         0
#> 105.1 19.75      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 171.3 16.57      1  41        0         1
#> 101    9.97      1  10        0         1
#> 29    15.45      1  68        1         0
#> 97.1  19.14      1  65        0         1
#> 179.1 18.63      1  42        0         0
#> 157.1 15.10      1  47        0         0
#> 60.1  13.15      1  38        1         0
#> 36.1  21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 57.1  14.46      1  45        0         1
#> 93.2  10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 179.2 18.63      1  42        0         0
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 190.1 20.81      1  42        1         0
#> 184   17.77      1  38        0         0
#> 79    16.23      1  54        1         0
#> 105.2 19.75      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 190.2 20.81      1  42        1         0
#> 85.1  16.44      1  36        0         0
#> 90    20.94      1  50        0         1
#> 60.2  13.15      1  38        1         0
#> 81.2  14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 79.1  16.23      1  54        1         0
#> 8.1   18.43      1  32        0         0
#> 6     15.64      1  39        0         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 163   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 53.2  24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 193.1 24.00      0  45        0         1
#> 38.1  24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 11.1  24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 112.1 24.00      0  61        0         0
#> 163.2 24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 65    24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 137.1 24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 176.2 24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 141.1 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 2     24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 80.1  24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 72.1  24.00      0  40        0         1
#> 34.1  24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 185.1 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 156.1 24.00      0  50        1         0
#> 74.1  24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 148.1 24.00      0  61        1         0
#> 178.1 24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 118.1 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 156.2 24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 74.2  24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 165   24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 34.2  24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.528         NA        NA      NA
#> 2 age, Cure model           0.0140        NA        NA      NA
#> 3 grade_ii, Cure model     -0.335         NA        NA      NA
#> 4 grade_iii, Cure model     0.453         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.0000895        NA        NA      NA
#> 2 grade_ii, Survival model  0.0261           NA        NA      NA
#> 3 grade_iii, Survival model 0.507            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.52800           0.01395          -0.33506           0.45267  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 260.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.52800387       0.01395291      -0.33505624       0.45267318 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     8.953913e-05     2.610817e-02     5.070032e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.02940313 0.62450804 0.90471788 0.97845110 0.29733772 0.74773345
#>   [7] 0.95640978 0.39036657 0.08999999 0.70729435 0.54775183 0.83549812
#>  [13] 0.50282366 0.66637840 0.18841969 0.89712055 0.37058464 0.58256232
#>  [19] 0.68276568 0.15169282 0.87439355 0.20041383 0.32928404 0.58256232
#>  [25] 0.23412030 0.81148714 0.47533707 0.73171824 0.12741552 0.20041383
#>  [31] 0.40021716 0.74773345 0.50282366 0.79549430 0.53005328 0.72354638
#>  [37] 0.01085361 0.31864034 0.87439355 0.83549812 0.20041383 0.10301673
#>  [43] 0.87439355 0.46582835 0.94167073 0.17640114 0.16435598 0.77162491
#>  [49] 0.85890586 0.61604062 0.54775183 0.92694805 0.10301673 0.81148714
#>  [55] 0.83549812 0.58256232 0.90471788 0.36018065 0.53005328 0.96375853
#>  [61] 0.37058464 0.26649328 0.54775183 0.97110564 0.54775183 0.47533707
#>  [67] 0.92694805 0.82746996 0.12741552 0.06351715 0.97845110 0.30799514
#>  [73] 0.44700343 0.66637840 0.97845110 0.79549430 0.32928404 0.06351715
#>  [79] 0.41906228 0.58256232 0.94905919 0.69912032 0.40021716 0.41906228
#>  [85] 0.70729435 0.77162491 0.23412030 0.85890586 0.73171824 0.90471788
#>  [91] 0.49368048 0.41906228 0.04838991 0.26649328 0.52092376 0.64971781
#>  [97] 0.32928404 0.26649328 0.62450804 0.25574967 0.77162491 0.74773345
#> [103] 0.64132662 0.64971781 0.44700343 0.69094317 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    78    85    93   127   150    81   183    76    69   157    30    42   134 
#> 23.88 16.44 10.33  3.53 20.33 14.06  9.24 19.22 23.23 15.10 17.43 12.43 17.81 
#>   188   139    52    55   171    26    66   159   153   105 171.1    36   140 
#> 16.16 21.49 10.42 19.34 16.57 15.77 22.13 10.55 21.33 19.75 16.57 21.19 12.68 
#>   108    57    63 153.1    97  81.1 134.1   155   111   180    24   166 159.1 
#> 18.29 14.46 22.77 21.33 19.14 14.06 17.81 13.08 17.45 14.82 23.89 19.98 10.55 
#>  42.1 153.2   113 159.2    88   145   197   136    60    43   181  30.1    61 
#> 12.43 21.33 22.86 10.55 18.37 10.07 21.60 21.83 13.15 12.10 16.46 17.43 10.12 
#> 113.1 140.1  42.2 171.2  93.1   170 111.1    70  55.1   190  30.2    25  30.3 
#> 22.86 12.68 12.43 16.57 10.33 19.54 17.45  7.38 19.34 20.81 17.43  6.32 17.43 
#> 108.1  61.1   154  63.1   129 127.1   158     8 188.1 127.2 155.1 105.1 129.1 
#> 18.29 10.12 12.63 22.77 23.41  3.53 20.14 18.43 16.16  3.53 13.08 19.75 23.41 
#>   179 171.3   101    29  97.1 179.1 157.1  60.1  36.1  43.1  57.1  93.2    51 
#> 18.63 16.57  9.97 15.45 19.14 18.63 15.10 13.15 21.19 12.10 14.46 10.33 18.23 
#> 179.2    86 190.1   184    79 105.2 190.2  85.1    90  60.2  81.2     5  79.1 
#> 18.63 23.81 20.81 17.77 16.23 19.75 20.81 16.44 20.94 13.15 14.06 16.43 16.23 
#>   8.1     6    72   144    82    53    20    64   122   176    12   163    74 
#> 18.43 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   193   116  53.1   119   118   103    38 163.1     1   178    17   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152  53.2   174    11    98 193.1  38.1    19   141   148    34  11.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1 163.2 176.1   146   173    65    71   102 137.1    35 176.2    80    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 141.1    75     2    48    27  80.1    54  72.1  34.1  75.1 185.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    95   120 156.1  74.1 103.1 148.1 178.1    84 118.1    46 156.2   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.2  12.1   165  46.1   147   172 165.1  34.2    22    21   186 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000216576               0.356089025               0.416365808 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.04221251              0.02151588             -0.26147123 
#>   grade_iii, Cure model 
#>              0.60385942 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 42    12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 16     8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 159   10.55      1  50        0         1
#> 153   21.33      1  55        1         0
#> 32    20.90      1  37        1         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 42.1  12.43      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 79    16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 159.1 10.55      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 55    19.34      1  69        0         1
#> 25.1   6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 189.1 10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 177.1 12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 157   15.10      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 92    22.92      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 77.1   7.27      1  67        0         1
#> 59.2  10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 23.1  16.92      1  61        0         0
#> 50    10.02      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 168   23.72      1  70        0         0
#> 97.1  19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 170   19.54      1  43        0         1
#> 179.2 18.63      1  42        0         0
#> 89.1  11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 57.1  14.46      1  45        0         1
#> 166.1 19.98      1  48        0         0
#> 16.1   8.71      1  71        0         1
#> 52.1  10.42      1  52        0         1
#> 150   20.33      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 111.1 17.45      1  47        0         1
#> 13    14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 13.1  14.34      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 68.1  20.62      1  44        0         0
#> 105   19.75      1  60        0         0
#> 18.1  15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 100   16.07      1  60        0         0
#> 81    14.06      1  34        0         0
#> 89.2  11.44      1  NA        0         0
#> 92.1  22.92      1  47        0         1
#> 16.2   8.71      1  71        0         1
#> 25.2   6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 99    21.19      1  38        0         1
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 180   14.82      1  37        0         0
#> 29.1  15.45      1  68        1         0
#> 189.2 10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 124.1  9.73      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 16.3   8.71      1  71        0         1
#> 52.2  10.42      1  52        0         1
#> 57.3  14.46      1  45        0         1
#> 92.2  22.92      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 68.2  20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 169.1 22.41      1  46        0         0
#> 106   16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 134   17.81      1  47        1         0
#> 134.1 17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 153.1 21.33      1  55        1         0
#> 89.3  11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 94    24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 3.1   24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 185.1 24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 3.2   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 161.2 24.00      0  45        0         0
#> 53    24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 200.1 24.00      0  64        0         0
#> 82    24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 2.2   24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 144.1 24.00      0  28        0         1
#> 196   24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 161.3 24.00      0  45        0         0
#> 12    24.00      0  63        0         0
#> 119.1 24.00      0  17        0         0
#> 152   24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 173.1 24.00      0  19        0         1
#> 156.2 24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 163.2 24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 19.1  24.00      0  57        0         1
#> 3.3   24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 151.2 24.00      0  42        0         0
#> 120.1 24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 115.1 24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 178.2 24.00      0  52        1         0
#> 103.1 24.00      0  56        1         0
#> 71.1  24.00      0  51        0         0
#> 3.4   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 200.2 24.00      0  64        0         0
#> 141   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 21.1  24.00      0  47        0         0
#> 98.1  24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.04          NA        NA      NA
#> 2 age, Cure model           0.0215        NA        NA      NA
#> 3 grade_ii, Cure model     -0.261         NA        NA      NA
#> 4 grade_iii, Cure model     0.604         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000217        NA        NA      NA
#> 2 grade_ii, Survival model  0.356           NA        NA      NA
#> 3 grade_iii, Survival model 0.416           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.04221           0.02152          -0.26147           0.60386  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 242.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.04221251       0.02151588      -0.26147123       0.60385942 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000216576      0.356089025      0.416365808 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.68782086 0.79099621 0.67001122 0.25888168 0.83296897 0.09954664
#>   [7] 0.22264404 0.91466281 0.88254437 0.06035014 0.86619232 0.23531588
#>  [13] 0.29259456 0.44112171 0.90660340 0.81620135 0.83296897 0.96931794
#>  [19] 0.59688503 0.30363937 0.86619232 0.44112171 0.40018587 0.96931794
#>  [25] 0.62462546 0.42092129 0.54013487 0.54974210 0.81620135 0.73194506
#>  [31] 0.79942810 0.95376730 0.94589057 0.70542859 0.79942810 0.47105496
#>  [37] 0.35738095 0.13384899 0.62462546 0.95376730 0.02238429 0.66093744
#>  [43] 0.54974210 0.02238429 0.40018587 0.07997259 0.42092129 0.17133900
#>  [49] 0.84955874 0.38952713 0.44112171 0.18442571 0.52091024 0.73194506
#>  [55] 0.35738095 0.91466281 0.88254437 0.33555415 0.73194506 0.52091024
#>  [61] 0.76567185 0.64278361 0.76567185 0.47105496 0.30363937 0.37871137
#>  [67] 0.68782086 0.11725120 0.20964144 0.60618180 0.78252463 0.13384899
#>  [73] 0.91466281 0.96931794 0.99230862 0.25888168 0.57830869 0.57830869
#>  [79] 0.71428695 0.67001122 0.85789345 0.60618180 0.91466281 0.88254437
#>  [85] 0.73194506 0.13384899 0.64278361 0.30363937 0.72314442 0.18442571
#>  [91] 0.56877997 0.49122214 0.50130076 0.50130076 0.34654499 0.23531588
#>  [97] 0.28136361 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    18    60    29    36    42   164   139    16    52    86   159   153    32 
#> 15.21 13.15 15.45 21.19 12.43 23.60 21.49  8.71 10.42 23.81 10.55 21.33 20.90 
#>   179   183   177  42.1    25    79    68 159.1 179.1    55  25.1    26    97 
#> 18.63  9.24 12.53 12.43  6.32 16.23 20.62 10.55 18.63 19.34  6.32 15.77 19.14 
#>    45    23 177.1    57    14    77    70   157  14.1     8   166    92  26.1 
#> 17.42 16.92 12.53 14.46 12.89  7.27  7.38 15.10 12.89 18.43 19.98 22.92 15.77 
#>  77.1    24    39  23.1  24.1    58   168  97.1    63    56   170 179.2   169 
#>  7.27 23.89 15.59 16.92 23.89 19.34 23.72 19.14 22.77 12.21 19.54 18.63 22.41 
#>   111  57.1 166.1  16.1  52.1   150  57.2 111.1    13     6  13.1   8.1  68.1 
#> 17.45 14.46 19.98  8.71 10.42 20.33 14.46 17.45 14.34 15.64 14.34 18.43 20.62 
#>   105  18.1   129    66   100    81  92.1  16.2  25.2   127    99   130 130.1 
#> 19.75 15.21 23.41 22.13 16.07 14.06 22.92  8.71  6.32  3.53 21.19 16.47 16.47 
#>   180  29.1   107 100.1  16.3  52.2  57.3  92.2   6.1  68.2    96 169.1   106 
#> 14.82 15.45 11.18 16.07  8.71 10.42 14.46 22.92 15.64 20.62 14.54 22.41 16.67 
#>   108   134 134.1   158 153.1    90    94     2     3    98   148    48   178 
#> 18.29 17.81 17.81 20.14 21.33 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   185    72   144   3.1 161.1 185.1 178.1   156    74   3.2 156.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   151   142    71    62   120  62.1   2.1   146   163   200 161.2    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   173   147   102 200.1    82    80   186    87   2.2   198   119 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    33    21   103 161.3    12 119.1   152 152.1   193 173.1 156.2   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   116   160 163.1 163.2    19   121    84  19.1   3.3 198.1 151.2 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   143    95 178.2 103.1  71.1   3.4    64    22 200.2   141   191  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004377317               0.918876663               0.619726789 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.562411656             0.008323881             0.183254295 
#>   grade_iii, Cure model 
#>             0.842189466 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 85.1  16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 50    10.02      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 66    22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 113   22.86      1  34        0         0
#> 128   20.35      1  35        0         1
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 145.1 10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 89    11.44      1  NA        0         0
#> 14    12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 16     8.71      1  71        0         1
#> 55    19.34      1  69        0         1
#> 93.1  10.33      1  52        0         1
#> 134.1 17.81      1  47        1         0
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 139   21.49      1  63        1         0
#> 111   17.45      1  47        0         1
#> 13    14.34      1  54        0         1
#> 24    23.89      1  38        0         0
#> 13.1  14.34      1  54        0         1
#> 61    10.12      1  36        0         1
#> 159.1 10.55      1  50        0         1
#> 60    13.15      1  38        1         0
#> 85.2  16.44      1  36        0         0
#> 100   16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 177   12.53      1  75        0         0
#> 134.2 17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 100.1 16.07      1  60        0         0
#> 39    15.59      1  37        0         1
#> 58    19.34      1  39        0         0
#> 61.1  10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 5.1   16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 188   16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 70     7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 128.2 20.35      1  35        0         1
#> 5.2   16.43      1  51        0         1
#> 59    10.16      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 107   11.18      1  54        1         0
#> 96    14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 23    16.92      1  61        0         0
#> 175.1 21.91      1  43        0         0
#> 154   12.63      1  20        1         0
#> 93.2  10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 154.1 12.63      1  20        1         0
#> 153   21.33      1  55        1         0
#> 8     18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 107.1 11.18      1  54        1         0
#> 89.2  11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 90    20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 195   11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 195.1 11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 89.3  11.44      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 124.1  9.73      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 96.1  14.54      1  33        0         1
#> 97    19.14      1  65        0         1
#> 177.1 12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 175.2 21.91      1  43        0         0
#> 25     6.32      1  34        1         0
#> 49.1  12.19      1  48        1         0
#> 168   23.72      1  70        0         0
#> 32.1  20.90      1  37        1         0
#> 88.1  18.37      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 154.2 12.63      1  20        1         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 98    24.00      0  34        1         0
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 65    24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 131.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 53    24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 156.1 24.00      0  50        1         0
#> 7.2   24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 84.2  24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 98.1  24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 3     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 47.1  24.00      0  38        0         1
#> 9.2   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 94    24.00      0  51        0         1
#> 146   24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 94.1  24.00      0  51        0         1
#> 191.1 24.00      0  60        0         1
#> 87    24.00      0  27        0         0
#> 67    24.00      0  25        0         0
#> 115   24.00      0  NA        1         0
#> 126.2 24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 47.2  24.00      0  38        0         1
#> 65.1  24.00      0  57        1         0
#> 12.2  24.00      0  63        0         0
#> 132.2 24.00      0  55        0         0
#> 156.2 24.00      0  50        1         0
#> 84.3  24.00      0  39        0         1
#> 35.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 11.1  24.00      0  42        0         1
#> 87.1  24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 83.1  24.00      0   6        0         0
#> 94.2  24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.562          NA        NA      NA
#> 2 age, Cure model          0.00832        NA        NA      NA
#> 3 grade_ii, Cure model     0.183          NA        NA      NA
#> 4 grade_iii, Cure model    0.842          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00438        NA        NA      NA
#> 2 grade_ii, Survival model   0.919          NA        NA      NA
#> 3 grade_iii, Survival model  0.620          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.562412          0.008324          0.183254          0.842189  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.562411656      0.008323881      0.183254295      0.842189466 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004377317      0.918876663      0.619726789 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.12218495 0.07602979 0.16828046 0.53699724 0.53699724 0.84680736
#>   [7] 0.92204502 0.13767567 0.64642111 0.80740428 0.42824760 0.86217628
#>  [13] 0.10704633 0.30867246 0.92936436 0.92936436 0.02342513 0.89985818
#>  [19] 0.57377125 0.74243057 0.35165043 0.44975692 0.89985818 0.81550356
#>  [25] 0.75079450 0.13767567 0.94374920 0.36277512 0.86217628 0.44975692
#>  [31] 0.98618267 0.51803661 0.23000606 0.48865621 0.71691155 0.00719105
#>  [37] 0.71691155 0.88483707 0.84680736 0.73396484 0.53699724 0.61006179
#>  [43] 0.79132404 0.44975692 0.30867246 0.61006179 0.66438587 0.36277512
#>  [49] 0.88483707 0.21413742 0.57377125 0.27278712 0.29689388 0.43914759
#>  [55] 0.60093855 0.98618267 0.47875642 0.95808621 0.97920878 0.30867246
#>  [61] 0.57377125 0.75079450 0.83129967 0.69966664 0.40641420 0.49845422
#>  [67] 0.16828046 0.76746164 0.86217628 0.62829691 0.63741501 0.50829757
#>  [73] 0.76746164 0.24494535 0.39545791 0.68207304 0.83129967 0.09220100
#>  [79] 0.25905051 0.04255329 0.53699724 0.69085747 0.51803661 0.91466043
#>  [85] 0.69966664 0.38454116 0.79132404 0.96515999 0.95094930 0.34059206
#>  [91] 0.64642111 0.16828046 0.97221382 0.81550356 0.05864997 0.27278712
#>  [97] 0.40641420 0.66438587 0.76746164 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   169   164   175    85  85.1   159   187    66     6    56   108    93   113 
#> 22.41 23.60 21.91 16.44 16.44 10.55  9.92 22.13 15.64 12.21 18.29 10.33 22.86 
#>   128   183 183.1    78   145     5   123   166   134 145.1    49    14  66.1 
#> 20.35  9.24  9.24 23.88 10.07 16.43 13.00 19.98 17.81 10.07 12.19 12.89 22.13 
#>    16    55  93.1 134.1   127   130   139   111    13    24  13.1    61 159.1 
#>  8.71 19.34 10.33 17.81  3.53 16.47 21.49 17.45 14.34 23.89 14.34 10.12 10.55 
#>    60  85.2   100   177 134.2 128.1 100.1    39    58  61.1   136   5.1    32 
#> 13.15 16.44 16.07 12.53 17.81 20.35 16.07 15.59 19.34 10.12 21.83 16.43 20.90 
#>   190    41   188 127.1   184    70    91 128.2   5.2  14.1   107    96    88 
#> 20.81 18.02 16.16  3.53 17.77  7.38  5.33 20.35 16.43 12.89 11.18 14.54 18.37 
#>    23 175.1   154  93.2    26   125   171 154.1   153     8    18 107.1    92 
#> 16.92 21.91 12.63 10.33 15.77 15.65 16.57 12.63 21.33 18.43 15.21 11.18 22.92 
#>    90    86   192   133 130.1   101  96.1    97 177.1    77   149   150   6.1 
#> 20.94 23.81 16.44 14.65 16.47  9.97 14.54 19.14 12.53  7.27  8.37 20.33 15.64 
#> 175.2    25  49.1   168  32.1  88.1  39.1 154.2    28   131   173    98    83 
#> 21.91  6.32 12.19 23.72 20.90 18.37 15.59 12.63 24.00 24.00 24.00 24.00 24.00 
#>    84  84.1    65    21    20    54   156     7    27   119    62   121   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    19 131.1   176   196    53     9   138    35    12 176.1     1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2    11  84.2    47  98.1   191    46    80  80.1     3   9.1    82  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2   178 126.1     2    94   146   142    22   200    33    17  12.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1    87    67 126.2   132 132.1   102  47.2  65.1  12.2 132.2 156.2  84.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1    44   104   109  11.1  87.1   186   163  83.1  94.2   161 186.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38  33.1   172 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00528232                0.57868746                0.29035147 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64728499              0.01202607              0.42228259 
#>   grade_iii, Cure model 
#>              0.48233550 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 168   23.72      1  70        0         0
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 13    14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 153.1 21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 194   22.40      1  38        0         1
#> 188   16.16      1  46        0         1
#> 183    9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 39    15.59      1  37        0         1
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 37.1  12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 32    20.90      1  37        1         0
#> 195   11.76      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 18    15.21      1  49        1         0
#> 180   14.82      1  37        0         0
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 125   15.65      1  67        1         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 92    22.92      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 169   22.41      1  46        0         0
#> 43.1  12.10      1  61        0         1
#> 23    16.92      1  61        0         0
#> 23.1  16.92      1  61        0         0
#> 14    12.89      1  21        0         0
#> 183.1  9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 105.1 19.75      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 108.1 18.29      1  39        0         1
#> 76    19.22      1  54        0         1
#> 32.1  20.90      1  37        1         0
#> 124    9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 25.2   6.32      1  34        1         0
#> 140.1 12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 101    9.97      1  10        0         1
#> 42.1  12.43      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 195.1 11.76      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 24.1  23.89      1  38        0         0
#> 85    16.44      1  36        0         0
#> 14.1  12.89      1  21        0         0
#> 70.1   7.38      1  30        1         0
#> 32.2  20.90      1  37        1         0
#> 16     8.71      1  71        0         1
#> 150   20.33      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 29.1  15.45      1  68        1         0
#> 39.1  15.59      1  37        0         1
#> 81.1  14.06      1  34        0         0
#> 145   10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 158   20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 145.1 10.07      1  65        1         0
#> 56    12.21      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 85.1  16.44      1  36        0         0
#> 55.2  19.34      1  69        0         1
#> 45    17.42      1  54        0         1
#> 179   18.63      1  42        0         0
#> 145.2 10.07      1  65        1         0
#> 133.1 14.65      1  57        0         0
#> 49.3  12.19      1  48        1         0
#> 85.2  16.44      1  36        0         0
#> 113.1 22.86      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 129.1 23.41      1  53        1         0
#> 180.1 14.82      1  37        0         0
#> 177.1 12.53      1  75        0         0
#> 97.1  19.14      1  65        0         1
#> 55.3  19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 194.1 22.40      1  38        0         1
#> 50.1  10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 14.2  12.89      1  21        0         0
#> 23.2  16.92      1  61        0         0
#> 26    15.77      1  49        0         1
#> 107.1 11.18      1  54        1         0
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 142   24.00      0  53        0         0
#> 33    24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 21.1  24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 121.1 24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 94.1  24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 34.1  24.00      0  36        0         0
#> 38.1  24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 2.1   24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 121.2 24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 84    24.00      0  39        0         1
#> 163.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 115.1 24.00      0  NA        1         0
#> 95    24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 102.1 24.00      0  49        0         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 34.2  24.00      0  36        0         0
#> 151   24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 48.1  24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 161.1 24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 2.2   24.00      0   9        0         0
#> 95.2  24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 122.1 24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 94.2  24.00      0  51        0         1
#> 80.1  24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 98.1  24.00      0  34        1         0
#> 144   24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.647         NA        NA      NA
#> 2 age, Cure model           0.0120        NA        NA      NA
#> 3 grade_ii, Cure model      0.422         NA        NA      NA
#> 4 grade_iii, Cure model     0.482         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00528        NA        NA      NA
#> 2 grade_ii, Survival model   0.579          NA        NA      NA
#> 3 grade_iii, Survival model  0.290          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.64728           0.01203           0.42228           0.48234  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 257.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64728499       0.01202607       0.42228259       0.48233550 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00528232       0.57868746       0.29035147 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.70315126 0.80620726 0.35126567 0.98422285 0.13429116 0.83235308
#>   [7] 0.42662970 0.96256144 0.61875050 0.72428290 0.75888407 0.16308947
#>  [13] 0.97883696 0.28079728 0.76574781 0.35126567 0.84509416 0.31073270
#>  [19] 0.65807170 0.94598796 0.44646184 0.57833839 0.68102692 0.46597099
#>  [25] 0.88805447 0.56161006 0.83235308 0.74512225 0.37466895 0.65026763
#>  [31] 0.71727619 0.73127056 0.10248435 0.67348523 0.46597099 0.23318140
#>  [37] 0.98422285 0.29586901 0.88805447 0.59484099 0.59484099 0.78613494
#>  [43] 0.94598796 0.19973596 0.44646184 0.42662970 0.04522162 0.86400321
#>  [49] 0.56161006 0.50974240 0.37466895 0.24967519 0.98422285 0.80620726
#>  [55] 0.54455529 0.33812975 0.81933087 0.91178038 0.96804123 0.93465225
#>  [61] 0.84509416 0.86400321 0.19973596 0.04522162 0.62675261 0.78613494
#>  [67] 0.96804123 0.37466895 0.95704637 0.40586200 0.46597099 0.70315126
#>  [73] 0.68102692 0.76574781 0.91764915 0.51868996 0.41645764 0.77936596
#>  [79] 0.91764915 0.85769621 0.86400321 0.62675261 0.46597099 0.58663484
#>  [85] 0.53590983 0.91764915 0.74512225 0.86400321 0.62675261 0.24967519
#>  [91] 0.54455529 0.94034046 0.16308947 0.73127056 0.81933087 0.51868996
#>  [97] 0.46597099 0.69582297 0.31073270 0.90002471 0.78613494 0.59484099
#> [103] 0.66581111 0.90002471 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29   140   153    25   168    37   166   149   181   157    13   129    77 
#> 15.45 12.68 21.33  6.32 23.72 12.52 19.98  8.37 16.46 15.10 14.34 23.41  7.27 
#>    63    81 153.1    42   194   188   183   105    40    39    55    43   108 
#> 22.77 14.06 21.33 12.43 22.40 16.16  9.24 19.75 18.00 15.59 19.34 12.10 18.29 
#>  37.1   133    32    79    18   180    78   125    58    92  25.1   169  43.1 
#> 12.52 14.65 20.90 16.23 15.21 14.82 23.88 15.65 19.34 22.92  6.32 22.41 12.10 
#>    23  23.1    14 183.1    69 105.1 166.1    24    49 108.1    76  32.1   113 
#> 16.92 16.92 12.89  9.24 23.23 19.75 19.98 23.89 12.19 18.29 19.22 20.90 22.86 
#>  25.2 140.1     8   197   177   159    70   101  42.1  49.1  69.1  24.1    85 
#>  6.32 12.68 18.43 21.60 12.53 10.55  7.38  9.97 12.43 12.19 23.23 23.89 16.44 
#>  14.1  70.1  32.2    16   150  55.1  29.1  39.1  81.1   145    97   158    60 
#> 12.89  7.38 20.90  8.71 20.33 19.34 15.45 15.59 14.06 10.07 19.14 20.14 13.15 
#> 145.1    56  49.2  85.1  55.2    45   179 145.2 133.1  49.3  85.2 113.1   8.1 
#> 10.07 12.21 12.19 16.44 19.34 17.42 18.63 10.07 14.65 12.19 16.44 22.86 18.43 
#>   187 129.1 180.1 177.1  97.1  55.3   167 194.1   107  14.2  23.2    26 107.1 
#>  9.92 23.41 14.82 12.53 19.14 19.34 15.55 22.40 11.18 12.89 16.92 15.77 11.18 
#>   121    94    34    21    72    17    98    12   142    33  12.1  21.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 121.1    53   102     2   196   147  94.1    46    82    38 147.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   174  34.1  38.1  72.1   2.1   178    64    80   193   122   109 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87 142.1   143   141   163    48   103    84 163.1   191   162  87.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   131 109.1 102.1   137    47  95.1   176   160   161  34.2   151    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  48.1  48.2    74 161.1   104 143.1   2.2  95.2    54 122.1  22.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2  80.1 162.1   152  75.1  98.1   144     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00453916                0.42833297                0.19671539 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.054371867             0.005840412            -0.543525783 
#>   grade_iii, Cure model 
#>             0.319397815 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 117   17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 88    18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 154   12.63      1  20        1         0
#> 184   17.77      1  38        0         0
#> 145   10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 145.1 10.07      1  65        1         0
#> 134   17.81      1  47        1         0
#> 155   13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 6     15.64      1  39        0         0
#> 43.1  12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 93    10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 66    22.13      1  53        0         0
#> 106.1 16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 13.1  14.34      1  54        0         1
#> 60    13.15      1  38        1         0
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 145.2 10.07      1  65        1         0
#> 55    19.34      1  69        0         1
#> 13.2  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 194.1 22.40      1  38        0         1
#> 23    16.92      1  61        0         0
#> 43.2  12.10      1  61        0         1
#> 25     6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 10    10.53      1  34        0         0
#> 29    15.45      1  68        1         0
#> 78.1  23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 139   21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 85.2  16.44      1  36        0         0
#> 123.1 13.00      1  44        1         0
#> 6.2   15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 190   20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 130.1 16.47      1  53        0         1
#> 113   22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 10.1  10.53      1  34        0         0
#> 136   21.83      1  43        0         1
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 168   23.72      1  70        0         0
#> 155.2 13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 177.1 12.53      1  75        0         0
#> 89.1  11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 49.1  12.19      1  48        1         0
#> 89.2  11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 113.1 22.86      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 8.1   18.43      1  32        0         0
#> 79.1  16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 155.3 13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 43.3  12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 58.1  19.34      1  39        0         0
#> 29.1  15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 106.2 16.67      1  49        1         0
#> 14.1  12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 79.2  16.23      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 101    9.97      1  10        0         1
#> 105.1 19.75      1  60        0         0
#> 99.1  21.19      1  38        0         1
#> 13.3  14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 89.3  11.44      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 190.2 20.81      1  42        1         0
#> 129   23.41      1  53        1         0
#> 105.2 19.75      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 101.1  9.97      1  10        0         1
#> 175   21.91      1  43        0         0
#> 13.4  14.34      1  54        0         1
#> 6.3   15.64      1  39        0         0
#> 98    24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 17    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 75.1  24.00      0  21        1         0
#> 28.1  24.00      0  67        1         0
#> 46.1  24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 46.2  24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 64.1  24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 1     24.00      0  23        1         0
#> 185.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 62.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 64.2  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 196.1 24.00      0  19        0         0
#> 17.1  24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 151.1 24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 160.1 24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 146.1 24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 185.2 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 137.2 24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 53.1  24.00      0  32        0         1
#> 147.1 24.00      0  76        1         0
#> 65.1  24.00      0  57        1         0
#> 156.1 24.00      0  50        1         0
#> 193.1 24.00      0  45        0         1
#> 196.2 24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 162.1 24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 173.1 24.00      0  19        0         1
#> 186.1 24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 165   24.00      0  47        0         0
#> 193.2 24.00      0  45        0         1
#> 98.1  24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 98.2  24.00      0  34        1         0
#> 87.1  24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 151.2 24.00      0  42        0         0
#> 135.1 24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0544         NA        NA      NA
#> 2 age, Cure model          0.00584        NA        NA      NA
#> 3 grade_ii, Cure model    -0.544          NA        NA      NA
#> 4 grade_iii, Cure model    0.319          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00454        NA        NA      NA
#> 2 grade_ii, Survival model   0.428          NA        NA      NA
#> 3 grade_iii, Survival model  0.197          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.05437           0.00584          -0.54353           0.31940  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 258.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.054371867      0.005840412     -0.543525783      0.319397815 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00453916       0.42833297       0.19671539 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.093888258 0.386409836 0.434505188 0.171408916 0.858405242 0.019103618
#>   [7] 0.005665206 0.669839730 0.245041708 0.347807765 0.830241314 0.291241300
#>  [13] 0.491167954 0.763745012 0.801695898 0.376778775 0.933949760 0.319123000
#>  [19] 0.933949760 0.367186571 0.726069298 0.151541599 0.281770398 0.811205517
#>  [25] 0.575398248 0.858405242 0.981056136 0.575398248 0.924396913 0.660265186
#>  [31] 0.112315694 0.434505188 0.491167954 0.669839730 0.716517728 0.254300721
#>  [37] 0.933949760 0.291241300 0.669839730 0.650712062 0.328728545 0.093888258
#>  [43] 0.415262725 0.858405242 0.990542343 0.047513977 0.905397472 0.631799016
#>  [49] 0.005665206 0.405636615 0.161521880 0.056799536 0.491167954 0.763745012
#>  [55] 0.575398248 0.472193273 0.218490013 0.895876117 0.528469709 0.726069298
#>  [61] 0.472193273 0.066113578 0.782699532 0.905397472 0.141480739 0.565910077
#>  [67] 0.396021296 0.028143823 0.726069298 0.612813770 0.811205517 0.208930882
#>  [73] 0.830241314 0.181185809 0.218490013 0.066113578 0.112315694 0.328728545
#>  [79] 0.528469709 0.084128865 0.726069298 0.462625378 0.858405242 0.491167954
#>  [85] 0.291241300 0.631799016 0.556400824 0.434505188 0.782699532 0.181185809
#>  [91] 0.357533904 0.528469709 0.612813770 0.962193934 0.254300721 0.181185809
#>  [97] 0.669839730 0.415262725 0.218490013 0.038074895 0.254300721 0.830241314
#> [103] 0.962193934 0.131419085 0.669839730 0.575398248 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   194   117   106   153    43    86    78    13   166    88    49    58    85 
#> 22.40 17.46 16.67 21.33 12.10 23.81 23.88 14.34 19.98 18.37 12.19 19.34 16.44 
#>   123   154   184   145    97 145.1   134   155   197   170   177     6  43.1 
#> 13.00 12.63 17.77 10.07 19.14 10.07 17.81 13.08 21.60 19.54 12.53 15.64 12.10 
#>    77   6.1    93   180    66 106.1  85.1  13.1    60   105 145.2    55  13.2 
#>  7.27 15.64 10.33 14.82 22.13 16.67 16.44 14.34 13.15 19.75 10.07 19.34 14.34 
#>   157     8 194.1    23  43.2    25    69    10    29  78.1    45   139    92 
#> 15.10 18.43 22.40 16.92 12.10  6.32 23.23 10.53 15.45 23.88 17.42 21.49 22.92 
#>  85.2 123.1   6.2   130   190   159    79 155.1 130.1   113    14  10.1   136 
#> 16.44 13.00 15.64 16.47 20.81 10.55 16.23 13.08 16.47 22.86 12.89 10.53 21.83 
#>   125   111   168 155.2    39 177.1    32  49.1    99 190.1 113.1  66.1   8.1 
#> 15.65 17.45 23.72 13.08 15.59 12.53 20.90 12.19 21.19 20.81 22.86 22.13 18.43 
#>  79.1   169 155.3   171  43.3   192  58.1  29.1   100 106.2  14.1    36    41 
#> 16.23 22.41 13.08 16.57 12.10 16.44 19.34 15.45 16.07 16.67 12.89 21.19 18.02 
#>  79.2  39.1   101 105.1  99.1  13.3  23.1 190.2   129 105.2  49.2 101.1   175 
#> 16.23 15.59  9.97 19.75 21.19 14.34 16.92 20.81 23.41 19.75 12.19  9.97 21.91 
#>  13.4   6.3    98   163    53   137 137.1   135    17    28    46    75   103 
#> 14.34 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   146   178   196    83  83.1  75.1  28.1  46.1   173   152   185 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    64  46.2   198  64.1   160   120 103.1     1 185.1    62    35 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    47     9   186    65  62.1    11  64.2   151 196.1  17.1 198.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 160.1 146.1    80    12   144   147   126     3 185.2   156 137.2    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1 147.1  65.1 156.1 193.1 196.2   200 162.1   132   172 173.1 186.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 193.2  98.1   131  98.2  87.1    54 151.2 135.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01362911                0.61496888                0.48713488 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.49191820              0.02336552              0.49570430 
#>   grade_iii, Cure model 
#>              1.14389770 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 133   14.65      1  57        0         0
#> 124    9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 157   15.10      1  47        0         0
#> 40    18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 166.1 19.98      1  48        0         0
#> 117   17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 157.1 15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 110.1 17.56      1  65        0         1
#> 158   20.14      1  74        1         0
#> 43    12.10      1  61        0         1
#> 37    12.52      1  57        1         0
#> 61    10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 97.1  19.14      1  65        0         1
#> 81    14.06      1  34        0         0
#> 77     7.27      1  67        0         1
#> 175   21.91      1  43        0         0
#> 166.2 19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 78    23.88      1  43        0         0
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 170   19.54      1  43        0         1
#> 79    16.23      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 184   17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 157.2 15.10      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 171.1 16.57      1  41        0         1
#> 63    22.77      1  31        1         0
#> 91.1   5.33      1  61        0         1
#> 15.1  22.68      1  48        0         0
#> 37.1  12.52      1  57        1         0
#> 4     17.64      1  NA        0         1
#> 92.1  22.92      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 128.2 20.35      1  35        0         1
#> 91.2   5.33      1  61        0         1
#> 128.3 20.35      1  35        0         1
#> 88    18.37      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 13.2  14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 197   21.60      1  69        1         0
#> 40.1  18.00      1  28        1         0
#> 111   17.45      1  47        0         1
#> 57    14.46      1  45        0         1
#> 158.1 20.14      1  74        1         0
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 164   23.60      1  76        0         1
#> 97.2  19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 77.2   7.27      1  67        0         1
#> 90    20.94      1  50        0         1
#> 167   15.55      1  56        1         0
#> 76    19.22      1  54        0         1
#> 15.2  22.68      1  48        0         0
#> 179.2 18.63      1  42        0         0
#> 149    8.37      1  33        1         0
#> 164.1 23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 159.1 10.55      1  50        0         1
#> 57.1  14.46      1  45        0         1
#> 164.2 23.60      1  76        0         1
#> 15.3  22.68      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 159.2 10.55      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 159.3 10.55      1  50        0         1
#> 45.1  17.42      1  54        0         1
#> 93    10.33      1  52        0         1
#> 97.3  19.14      1  65        0         1
#> 50.1  10.02      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 79.1  16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 139   21.49      1  63        1         0
#> 145   10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 42    12.43      1  49        0         1
#> 183    9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 129   23.41      1  53        1         0
#> 123   13.00      1  44        1         0
#> 157.3 15.10      1  47        0         0
#> 53    24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 156   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 102.1 24.00      0  49        0         0
#> 7     24.00      0  37        1         0
#> 53.1  24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 198.1 24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 109   24.00      0  48        0         0
#> 156.1 24.00      0  50        1         0
#> 53.2  24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 33.1  24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 156.2 24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 35.2  24.00      0  51        0         0
#> 33.2  24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 109.1 24.00      0  48        0         0
#> 2.2   24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 72.1  24.00      0  40        0         1
#> 11.1  24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 9     24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 186.1 24.00      0  45        1         0
#> 122.1 24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 11.2  24.00      0  42        0         1
#> 198.2 24.00      0  66        0         1
#> 135   24.00      0  58        1         0
#> 3.2   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 1     24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 120   24.00      0  68        0         1
#> 9.1   24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 72.2  24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 53.3  24.00      0  32        0         1
#> 73.1  24.00      0  NA        0         1
#> 143.1 24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 54.1  24.00      0  53        1         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 9.2   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 135.1 24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 131   24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 75.1  24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.49          NA        NA      NA
#> 2 age, Cure model           0.0234        NA        NA      NA
#> 3 grade_ii, Cure model      0.496         NA        NA      NA
#> 4 grade_iii, Cure model     1.14          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0136        NA        NA      NA
#> 2 grade_ii, Survival model    0.615         NA        NA      NA
#> 3 grade_iii, Survival model   0.487         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.49192           0.02337           0.49570           1.14390  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 244.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.49191820       0.02336552       0.49570430       1.14389770 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01362911       0.61496888       0.48713488 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6164061115 0.6164061115 0.5826771143 0.2719225494 0.1660897273
#>   [6] 0.5392872177 0.3112168663 0.2354975194 0.1136704782 0.1136704782
#>  [11] 0.3920638026 0.6847232740 0.1660897273 0.3714538001 0.6617041296
#>  [16] 0.1057495117 0.5392872177 0.3510892655 0.3510892655 0.1500974422
#>  [21] 0.7536811903 0.7077286742 0.8346253841 0.0822391751 0.2354975194
#>  [26] 0.6501726022 0.9052320193 0.0598787920 0.1660897273 0.4333449657
#>  [31] 0.0006784223 0.9643313284 0.3309337901 0.1911925688 0.4858653776
#>  [36] 0.1911925688 0.7769124242 0.3409513181 0.0207557451 0.0367530884
#>  [41] 0.4752096750 0.4540807865 0.5392872177 0.2719225494 0.4333449657
#>  [46] 0.0312089865 0.9643313284 0.0367530884 0.7077286742 0.0207557451
#>  [51] 0.4645986527 0.1421598188 0.1136704782 0.9643313284 0.1136704782
#>  [56] 0.3010248580 0.8346253841 0.5070479471 0.9052320193 0.6164061115
#>  [61] 0.2084638139 0.0671270924 0.3112168663 0.3817390096 0.5939581307
#>  [66] 0.1500974422 0.7421274388 0.7652867593 0.0040914291 0.2354975194
#>  [71] 0.9406598458 0.9052320193 0.0978029663 0.5285194300 0.2263098263
#>  [76] 0.0367530884 0.2719225494 0.8934276989 0.0040914291 0.8698037029
#>  [81] 0.7769124242 0.5939581307 0.0040914291 0.0367530884 0.4126777066
#>  [86] 0.7769124242 0.9406598458 0.7769124242 0.3920638026 0.8228571867
#>  [91] 0.2354975194 0.4126777066 0.4858653776 0.2084638139 0.0746001355
#>  [96] 0.8579981853 0.6962647660 0.7305806062 0.8815952975 0.0899691161
#> [101] 0.5177817930 0.0151671529 0.6732152151 0.5392872177 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    13  13.1   133   179   166   157    40    97   128 128.1    45   140 166.1 
#> 14.34 14.34 14.65 18.63 19.98 15.10 18.00 19.14 20.35 20.35 17.42 12.68 19.98 
#>   117    60   190 157.1   110 110.1   158    43    37    61   153  97.1    81 
#> 17.46 13.15 20.81 15.10 17.56 17.56 20.14 12.10 12.52 10.12 21.33 19.14 14.06 
#>    77   175 166.2   171    78    91   134   170    79 170.1   159   184    92 
#>  7.27 21.91 19.98 16.57 23.88  5.33 17.81 19.54 16.23 19.54 10.55 17.77 22.92 
#>    15     5   181 157.2 179.1 171.1    63  91.1  15.1  37.1  92.1    85   150 
#> 22.68 16.43 16.46 15.10 18.63 16.57 22.77  5.33 22.68 12.52 22.92 16.44 20.33 
#> 128.2  91.2 128.3    88  61.1   188  77.1  13.2    58   197  40.1   111    57 
#> 20.35  5.33 20.35 18.37 10.12 16.16  7.27 14.34 19.34 21.60 18.00 17.45 14.46 
#> 158.1    49   107   164  97.2    25  77.2    90   167    76  15.2 179.2   149 
#> 20.14 12.19 11.18 23.60 19.14  6.32  7.27 20.94 15.55 19.22 22.68 18.63  8.37 
#> 164.1   187 159.1  57.1 164.2  15.3   106 159.2  25.1 159.3  45.1    93  97.3 
#> 23.60  9.92 10.55 14.46 23.60 22.68 16.67 10.55  6.32 10.55 17.42 10.33 19.14 
#> 106.1  79.1    55   139   145   154    42   183    36    39   129   123 157.3 
#> 16.67 16.23 19.34 21.49 10.07 12.63 12.43  9.24 21.19 15.59 23.41 13.00 15.10 
#>    53   198   191   162   102   156     2   178   161    54    33   2.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7  53.1   112 198.1    35   143    94   116    34    11   152    82   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   109 156.1  53.2    72  33.1    22 156.2  35.1  35.2  33.2     3   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   2.2   122   3.1    87  72.1  11.1   186   119     9    95 186.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    21  11.2 198.2   135   3.2   172    44     1    75   120   9.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  72.2    71  34.1 120.1  53.3 143.1 116.1  54.1   174   138    38   9.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1 135.1   151   131 138.1    65    19  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01752395                0.75141712                0.60046092 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.310480985             0.001378216            -0.052249641 
#>   grade_iii, Cure model 
#>             1.423456921 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 188   16.16      1  46        0         1
#> 96    14.54      1  33        0         1
#> 150   20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 14    12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 13    14.34      1  54        0         1
#> 171   16.57      1  41        0         1
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 6.1   15.64      1  39        0         0
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 189   10.51      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 129.1 23.41      1  53        1         0
#> 128   20.35      1  35        0         1
#> 130.1 16.47      1  53        0         1
#> 159   10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 123   13.00      1  44        1         0
#> 90    20.94      1  50        0         1
#> 171.1 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 153.1 21.33      1  55        1         0
#> 159.1 10.55      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 97.1  19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 164.1 23.60      1  76        0         1
#> 188.1 16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 125.1 15.65      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 69    23.23      1  25        0         1
#> 159.2 10.55      1  50        0         1
#> 60    13.15      1  38        1         0
#> 155   13.08      1  26        0         0
#> 60.1  13.15      1  38        1         0
#> 100.1 16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 90.1  20.94      1  50        0         1
#> 60.2  13.15      1  38        1         0
#> 190.1 20.81      1  42        1         0
#> 93    10.33      1  52        0         1
#> 181.2 16.46      1  45        0         1
#> 195.2 11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 15.1  22.68      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 58.1  19.34      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 90.2  20.94      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 169.1 22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 86    23.81      1  58        0         1
#> 107.1 11.18      1  54        1         0
#> 26.1  15.77      1  49        0         1
#> 105   19.75      1  60        0         0
#> 85    16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 181.3 16.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 189.1 10.51      1  NA        1         0
#> 107.2 11.18      1  54        1         0
#> 45    17.42      1  54        0         1
#> 197   21.60      1  69        1         0
#> 164.2 23.60      1  76        0         1
#> 164.3 23.60      1  76        0         1
#> 86.1  23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 6.2   15.64      1  39        0         0
#> 61.1  10.12      1  36        0         1
#> 169.2 22.41      1  46        0         0
#> 78.1  23.88      1  43        0         0
#> 61.2  10.12      1  36        0         1
#> 56.1  12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 127.1  3.53      1  62        0         1
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 163   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 161.1 24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 74    24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 35.1  24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 35.2  24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 9     24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 161.2 24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 161.3 24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 35.3  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 54.1  24.00      0  53        1         0
#> 44.1  24.00      0  56        0         0
#> 33    24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 141.1 24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 71.2  24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 54.2  24.00      0  53        1         0
#> 104.1 24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 156.1 24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 178.2 24.00      0  52        1         0
#> 44.2  24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 75.1  24.00      0  21        1         0
#> 162.1 24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 112.2 24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 48.1  24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 172.1 24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 74.1  24.00      0  43        0         1
#> 161.4 24.00      0  45        0         0
#> 98    24.00      0  34        1         0
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.310          NA        NA      NA
#> 2 age, Cure model          0.00138        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0522         NA        NA      NA
#> 4 grade_iii, Cure model    1.42           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0175        NA        NA      NA
#> 2 grade_ii, Survival model    0.751         NA        NA      NA
#> 3 grade_iii, Survival model   0.600         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.310481          0.001378         -0.052250          1.423457  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 243.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.310480985      0.001378216     -0.052249641      1.423456921 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01752395       0.75141712       0.60046092 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7161693944 0.8554880718 0.3143280298 0.4074252204 0.5683461560
#>   [6] 0.1738075094 0.0085082808 0.9468189687 0.6791480649 0.8946566590
#>  [11] 0.4512621279 0.0010469274 0.0262619899 0.5929684594 0.2942087815
#>  [16] 0.9600300721 0.2356634757 0.2172825483 0.4967101346 0.3348145825
#>  [21] 0.6917092266 0.4967101346 0.0967265976 0.1499238587 0.0402676784
#>  [26] 0.7663438202 0.2840500062 0.4737982267 0.5560514406 0.5806349225
#>  [31] 0.1116428087 0.0262619899 0.1657111788 0.3143280298 0.8170800042
#>  [36] 0.7791023927 0.9335948883 0.6666580320 0.1268432340 0.2942087815
#>  [41] 0.2547456318 0.0967265976 0.8170800042 0.0001495085 0.0117869450
#>  [46] 0.0563002237 0.2172825483 0.4289794450 0.0891903848 0.0117869450
#>  [51] 0.4074252204 0.3860810942 0.4737982267 0.3348145825 0.5438850773
#>  [56] 0.0354479857 0.8170800042 0.6176764852 0.6541725543 0.6176764852
#>  [61] 0.4289794450 0.1906956036 0.1268432340 0.6176764852 0.1499238587
#>  [66] 0.8685402668 0.3348145825 0.1116428087 0.0453614745 0.2643026705
#>  [71] 0.0453614745 0.3860810942 0.1906956036 0.8685402668 0.1268432340
#>  [76] 0.6917092266 0.0563002237 0.5318695479 0.2452598064 0.0041380806
#>  [81] 0.7791023927 0.4512621279 0.1821242246 0.3753638551 0.7285542803
#>  [86] 0.3348145825 0.5929684594 0.2082159092 0.7791023927 0.2741243373
#>  [91] 0.0818389953 0.0117869450 0.0117869450 0.0041380806 0.9733210180
#>  [96] 0.0747226540 0.4967101346 0.8946566590 0.0563002237 0.0010469274
#> [101] 0.8946566590 0.7285542803 0.7536642140 0.9733210180 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    42    52   130   188    96   150   168   187    14    61    26    78   129 
#> 12.43 10.42 16.47 16.16 14.54 20.33 23.72  9.92 12.89 10.12 15.77 23.88 23.41 
#>    13   171    77    51    97     6   181   154   6.1   153   190   113    43 
#> 14.34 16.57  7.27 18.23 19.14 15.64 16.46 12.63 15.64 21.33 20.81 22.86 12.10 
#>    23   125   180    57    99 129.1   128 130.1   159   107   145   123    90 
#> 16.92 15.65 14.82 14.46 21.19 23.41 20.35 16.47 10.55 11.18 10.07 13.00 20.94 
#> 171.1   111 153.1 159.1    24   164   169  97.1   100   139 164.1 188.1    79 
#> 16.57 17.45 21.33 10.55 23.89 23.60 22.41 19.14 16.07 21.49 23.60 16.16 16.23 
#> 125.1 181.1   157    69 159.2    60   155  60.1 100.1    58  90.1  60.2 190.1 
#> 15.65 16.46 15.10 23.23 10.55 13.15 13.08 13.15 16.07 19.34 20.94 13.15 20.81 
#>    93 181.2    36    15    30  15.1  79.1  58.1  93.1  90.2 154.1 169.1    18 
#> 10.33 16.46 21.19 22.68 17.43 22.68 16.23 19.34 10.33 20.94 12.63 22.41 15.21 
#>    40    86 107.1  26.1   105    85    56 181.3  13.1    76 107.2    45   197 
#> 18.00 23.81 11.18 15.77 19.75 16.44 12.21 16.46 14.34 19.22 11.18 17.42 21.60 
#> 164.2 164.3  86.1   127    66   6.2  61.1 169.2  78.1  61.2  56.1    49 127.1 
#> 23.60 23.60 23.81  3.53 22.13 15.64 10.12 22.41 23.88 10.12 12.21 12.19  3.53 
#>   178    11   161   163   160    95    38   103 161.1   142    35   148    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    12  35.1   174    53  35.2   146    62   191   162   156    82   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   104   147    64    28    65   132    75   193     1   116    21     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1   196     9 178.1   138 142.1   141  71.1 161.2   112 161.3    54  35.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44  54.1  44.1    33   186 141.1 163.1  71.2 112.1    31    87    34  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   121 156.1    20 178.2  44.2   172   198  75.1 162.1   176 112.2    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1  48.1   135 172.1  82.1  74.1 161.4    98  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01178958                0.72754922                0.40220229 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1696090614           -0.0004442169            0.1520762957 
#>   grade_iii, Cure model 
#>            1.0519062962 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 188   16.16      1  46        0         1
#> 96    14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 199   19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 171.1 16.57      1  41        0         1
#> 49    12.19      1  48        1         0
#> 167   15.55      1  56        1         0
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 134.1 17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 88    18.37      1  47        0         0
#> 105   19.75      1  60        0         0
#> 5     16.43      1  51        0         1
#> 127    3.53      1  62        0         1
#> 128.2 20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 50    10.02      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 177.1 12.53      1  75        0         0
#> 127.1  3.53      1  62        0         1
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 133   14.65      1  57        0         0
#> 50.1  10.02      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 86.1  23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 55    19.34      1  69        0         1
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 184.2 17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 88.1  18.37      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 123.1 13.00      1  44        1         0
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 136.1 21.83      1  43        0         1
#> 79    16.23      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 108.1 18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 192   16.44      1  31        1         0
#> 57.1  14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 168   23.72      1  70        0         0
#> 167.1 15.55      1  56        1         0
#> 188.1 16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 45    17.42      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 108.2 18.29      1  39        0         1
#> 36    21.19      1  48        0         1
#> 195.1 11.76      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 63.1  22.77      1  31        1         0
#> 113.1 22.86      1  34        0         0
#> 105.2 19.75      1  60        0         0
#> 66    22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 92.1  22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 150.1 20.33      1  48        0         0
#> 50.2  10.02      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 24.1  23.89      1  38        0         0
#> 30    17.43      1  78        0         0
#> 170   19.54      1  43        0         1
#> 24.2  23.89      1  38        0         0
#> 68    20.62      1  44        0         0
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 30.1  17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 92.2  22.92      1  47        0         1
#> 96.1  14.54      1  33        0         1
#> 133.1 14.65      1  57        0         0
#> 112   24.00      0  61        0         0
#> 72    24.00      0  40        0         1
#> 122   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 173   24.00      0  19        0         1
#> 48    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 172.2 24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 151.1 24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 98    24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 151.2 24.00      0  42        0         0
#> 7.1   24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 103.1 24.00      0  56        1         0
#> 1     24.00      0  23        1         0
#> 74    24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 178.1 24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 73.1  24.00      0  NA        0         1
#> 35    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 21.2  24.00      0  47        0         0
#> 62.1  24.00      0  71        0         0
#> 172.3 24.00      0  41        0         0
#> 62.2  24.00      0  71        0         0
#> 17.2  24.00      0  38        0         1
#> 62.3  24.00      0  71        0         0
#> 152.2 24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 20.1  24.00      0  46        1         0
#> 2     24.00      0   9        0         0
#> 62.4  24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 151.3 24.00      0  42        0         0
#> 20.2  24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 95.2  24.00      0  68        0         1
#> 141.1 24.00      0  44        1         0
#> 98.2  24.00      0  34        1         0
#> 73.2  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.170           NA        NA      NA
#> 2 age, Cure model         -0.000444        NA        NA      NA
#> 3 grade_ii, Cure model     0.152           NA        NA      NA
#> 4 grade_iii, Cure model    1.05            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0118        NA        NA      NA
#> 2 grade_ii, Survival model    0.728         NA        NA      NA
#> 3 grade_iii, Survival model   0.402         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1696091        -0.0004442         0.1520763         1.0519063  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1696090614    -0.0004442169     0.1520762957     1.0519062962 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01178958       0.72754922       0.40220229 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5670562 0.4036704 0.9161275 0.8131214 0.8503280 0.9073095 0.8239725
#>   [8] 0.7429903 0.6253308 0.9736465 0.7551032 0.8131214 0.9458321 0.8846961
#>  [15] 0.5846720 0.5846720 0.7429903 0.8799481 0.6971322 0.7039623 0.6330530
#>  [22] 0.8399317 0.9926470 0.5846720 0.5088949 0.6091993 0.3709969 0.6834781
#>  [29] 0.9291259 0.7551032 0.2460438 0.9375319 0.9375319 0.9926470 0.6765272
#>  [36] 0.8293612 0.8983869 0.6834781 0.2460438 0.7173645 0.6624337 0.7729577
#>  [43] 0.8019176 0.6624337 0.4594462 0.4854020 0.4457906 0.9658620 0.7551032
#>  [50] 0.9458321 0.5300677 0.9248166 0.7039623 0.7729577 0.9851306 0.3209643
#>  [57] 0.9291259 0.9697812 0.9539440 0.4854020 0.8451764 0.9736465 0.7173645
#>  [64] 0.1298795 0.6330530 0.8293612 0.9161275 0.5578873 0.2970283 0.8846961
#>  [71] 0.8503280 0.9889052 0.8704103 0.7962212 0.5300677 0.7173645 0.5300677
#>  [78] 0.8654335 0.8938714 0.4036704 0.3709969 0.6330530 0.4725787 0.8075717
#>  [85] 0.3209643 0.7366383 0.6091993 0.9539440 0.1298795 0.7847194 0.6551177
#>  [92] 0.1298795 0.5759099 0.4318272 0.5198420 0.7847194 0.9619156 0.9813202
#>  [99] 0.8604087 0.8704103 0.3209643 0.9073095 0.8983869 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    32    63    57   171   188    96   181   134   158   101   184 171.1    49 
#> 20.90 22.77 14.46 16.57 16.16 14.54 16.46 17.81 20.14  9.97 17.77 16.57 12.19 
#>   167   128 128.1 134.1    39     8    88   105     5   127 128.2   197   150 
#> 15.55 20.35 20.35 17.81 15.59 18.43 18.37 19.75 16.43  3.53 20.35 21.60 20.33 
#>   113   179   123 184.1    86   177 177.1 127.1    76    85   133 179.1  86.1 
#> 22.86 18.63 13.00 17.77 23.81 12.53 12.53  3.53 19.22 16.44 14.65 18.63 23.81 
#>   108    55   117    23    58   194   136   169   159 184.2  49.1    99    60 
#> 18.29 19.34 17.46 16.92 19.34 22.40 21.83 22.41 10.55 17.77 12.19 21.19 13.15 
#>  88.1 117.1    16    92 123.1   145    43 136.1    79 101.1 108.1    24 105.1 
#> 18.37 17.46  8.71 22.92 13.00 10.07 12.10 21.83 16.23  9.97 18.29 23.89 19.75 
#>   192  57.1    90   168 167.1 188.1    77   125    45  99.1 108.2    36    26 
#> 16.44 14.46 20.94 23.72 15.55 16.16  7.27 15.65 17.42 21.19 18.29 21.19 15.77 
#>    29  63.1 113.1 105.2    66   106  92.1    41 150.1  43.1  24.1    30   170 
#> 15.45 22.77 22.86 19.75 22.13 16.67 22.92 18.02 20.33 12.10 23.89 17.43 19.54 
#>  24.2    68    15   139  30.1   107   187   100 125.1  92.2  96.1 133.1   112 
#> 23.89 20.62 22.68 21.49 17.43 11.18  9.92 16.07 15.65 22.92 14.54 14.65 24.00 
#>    72   122   191    53   173    48   109   132   172   178 172.1   152 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   186    34    71 152.1   185 122.1    65    22   135   151 151.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1    95     7    98   103   147   120   144    12 151.2   7.1   165   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   116 103.1     1    74    31    54    87   162    62    17   141  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1 112.1   161 178.1    44   200 165.1  21.1    20    35   143  21.2  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.3  62.2  17.2  62.3 152.2  98.1  20.1     2  62.4    64   126    28   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.3  20.2   163  95.2 141.1  98.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01040954                0.71188538                0.72607319 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18084089              0.02159535             -0.02290019 
#>   grade_iii, Cure model 
#>              1.23446255 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 149    8.37      1  33        1         0
#> 113   22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 108   18.29      1  39        0         1
#> 91     5.33      1  61        0         1
#> 25     6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 93    10.33      1  52        0         1
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 106.1 16.67      1  49        1         0
#> 159   10.55      1  50        0         1
#> 68    20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 56.1  12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 55.1  19.34      1  69        0         1
#> 159.1 10.55      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 158   20.14      1  74        1         0
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 159.2 10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 133   14.65      1  57        0         0
#> 18    15.21      1  49        1         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 189.1 10.51      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 177   12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 145.1 10.07      1  65        1         0
#> 14    12.89      1  21        0         0
#> 129   23.41      1  53        1         0
#> 149.1  8.37      1  33        1         0
#> 190.1 20.81      1  42        1         0
#> 140   12.68      1  59        1         0
#> 128   20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 184   17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 90    20.94      1  50        0         1
#> 145.2 10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 171   16.57      1  41        0         1
#> 57.1  14.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 81    14.06      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 101.1  9.97      1  10        0         1
#> 170.1 19.54      1  43        0         1
#> 66    22.13      1  53        0         0
#> 70     7.38      1  30        1         0
#> 91.1   5.33      1  61        0         1
#> 140.1 12.68      1  59        1         0
#> 91.2   5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 6     15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 68.1  20.62      1  44        0         0
#> 93.1  10.33      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 197   21.60      1  69        1         0
#> 25.1   6.32      1  34        1         0
#> 58    19.34      1  39        0         0
#> 85    16.44      1  36        0         0
#> 81.1  14.06      1  34        0         0
#> 166   19.98      1  48        0         0
#> 114.2 13.68      1  NA        0         0
#> 93.2  10.33      1  52        0         1
#> 175   21.91      1  43        0         0
#> 93.3  10.33      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 69.1  23.23      1  25        0         1
#> 93.4  10.33      1  52        0         1
#> 10    10.53      1  34        0         0
#> 149.2  8.37      1  33        1         0
#> 10.1  10.53      1  34        0         0
#> 169   22.41      1  46        0         0
#> 168   23.72      1  70        0         0
#> 189.2 10.51      1  NA        1         0
#> 190.2 20.81      1  42        1         0
#> 159.3 10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 25.2   6.32      1  34        1         0
#> 4.1   17.64      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 145.3 10.07      1  65        1         0
#> 93.5  10.33      1  52        0         1
#> 16.2   8.71      1  71        0         1
#> 58.1  19.34      1  39        0         0
#> 177.1 12.53      1  75        0         0
#> 171.1 16.57      1  41        0         1
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 118   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 83.1  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 118.1 24.00      0  44        1         0
#> 83.2  24.00      0   6        0         0
#> 156   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 172.1 24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 83.3  24.00      0   6        0         0
#> 200   24.00      0  64        0         0
#> 7.1   24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 144.1 24.00      0  28        0         1
#> 146   24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 163   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 172.2 24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 196   24.00      0  19        0         0
#> 160   24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 172.3 24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 48    24.00      0  31        1         0
#> 7.2   24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 48.1  24.00      0  31        1         0
#> 7.3   24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 122.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 46.1  24.00      0  71        0         0
#> 191.1 24.00      0  60        0         1
#> 176   24.00      0  43        0         1
#> 144.2 24.00      0  28        0         1
#> 74    24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 7.4   24.00      0  37        1         0
#> 138   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 54.1  24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 64.1  24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 73.2  24.00      0  NA        0         1
#> 62.1  24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 118.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0216        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0229        NA        NA      NA
#> 4 grade_iii, Cure model     1.23          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0104        NA        NA      NA
#> 2 grade_ii, Survival model    0.712         NA        NA      NA
#> 3 grade_iii, Survival model   0.726         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.1808            0.0216           -0.0229            1.2345  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    253.7 
#> Residual Deviance: 235.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18084089       0.02159535      -0.02290019       1.23446255 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01040954       0.71188538       0.72607319 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9574833 0.4201240 0.7464230 0.6733036 0.9898242 0.9793357 0.7584720
#>   [8] 0.3862832 0.7084622 0.1025616 0.8886231 0.8407915 0.6657097 0.6877258
#>  [15] 0.7084622 0.8558849 0.5687692 0.7818873 0.8407915 0.6347868 0.6175422
#>  [22] 0.6347868 0.8558849 0.7016177 0.5989190 0.7402877 0.9343270 0.8508905
#>  [29] 0.2010924 0.8558849 0.5133841 0.2010924 0.5000317 0.9462055 0.7761188
#>  [36] 0.7703152 0.7875756 0.5380110 0.3435815 0.8305862 0.9183240 0.9183240
#>  [43] 0.8148474 0.3154585 0.9574833 0.5380110 0.8202304 0.5890358 0.8094558
#>  [50] 0.6946886 0.1025616 0.5260543 0.9183240 0.9721848 0.7214856 0.7875756
#>  [57] 0.9422747 0.7985475 0.7464230 0.9343270 0.6175422 0.4536870 0.9685176
#>  [64] 0.9898242 0.8202304 0.9898242 0.8839872 0.7644051 0.9721848 0.5687692
#>  [71] 0.8886231 0.3862832 0.4856782 0.9793357 0.6347868 0.7340186 0.7985475
#>  [78] 0.6082768 0.8886231 0.4698363 0.8886231 0.9462055 0.3435815 0.8886231
#>  [85] 0.8746146 0.9574833 0.8746146 0.4371033 0.2791241 0.5380110 0.8558849
#>  [92] 0.6733036 0.9793357 0.9140725 0.9183240 0.8886231 0.9462055 0.6347868
#>  [99] 0.8305862 0.7214856 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000
#> 
#> $Time
#>   149   113   100   108    91    25    26    92   106    24    93    56    97 
#>  8.37 22.86 16.07 18.29  5.33  6.32 15.77 22.92 16.67 23.89 10.33 12.21 19.14 
#>    51 106.1   159    68    96  56.1    55   170  55.1 159.1    30   158    79 
#> 18.23 16.67 10.55 20.62 14.54 12.21 19.34 19.54 19.34 10.55 17.43 20.14 16.23 
#>   101    49    78 159.2    99  78.1   153    16   133    18    57   190    69 
#>  9.97 12.19 23.88 10.55 21.19 23.88 21.33  8.71 14.65 15.21 14.46 20.81 23.23 
#>   177   145 145.1    14   129 149.1 190.1   140   128   123   184  24.1    90 
#> 12.53 10.07 10.07 12.89 23.41  8.37 20.81 12.68 20.35 13.00 17.77 23.89 20.94 
#> 145.2    77   171  57.1   183    81 100.1 101.1 170.1    66    70  91.1 140.1 
#> 10.07  7.27 16.57 14.46  9.24 14.06 16.07  9.97 19.54 22.13  7.38  5.33 12.68 
#>  91.2    52     6  77.1  68.1  93.1  92.1   197  25.1    58    85  81.1   166 
#>  5.33 10.42 15.64  7.27 20.62 10.33 22.92 21.60  6.32 19.34 16.44 14.06 19.98 
#>  93.2   175  93.3  16.1  69.1  93.4    10 149.2  10.1   169   168 190.2 159.3 
#> 10.33 21.91 10.33  8.71 23.23 10.33 10.53  8.37 10.53 22.41 23.72 20.81 10.55 
#> 108.1  25.2    61 145.3  93.5  16.2  58.1 177.1 171.1    21   165 165.1     3 
#> 18.29  6.32 10.12 10.07 10.33  8.71 19.34 12.53 16.57 24.00 24.00 24.00 24.00 
#>    83     7   118   122    12   191   126    62    67   173   141   185   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    46    34     1  83.1    28    31 118.1  83.2   156   172   144 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1   104  83.3   200   7.1   102 144.1   146 102.1   161   163    64   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2    20   196   160 163.1 172.3    54    48   7.2   193  48.1   7.3     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    17    19 122.1   120     9    87   103  46.1 191.1   176 144.2    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1   7.4   138  75.1   131  54.1    84  64.1   121 186.1    65  62.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 118.2 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01252558                0.55184556                0.18871151 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9364326               0.0177531               0.1084149 
#>   grade_iii, Cure model 
#>               0.8444348 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 18    15.21      1  49        1         0
#> 168   23.72      1  70        0         0
#> 36    21.19      1  48        0         1
#> 6     15.64      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 25     6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 130   16.47      1  53        0         1
#> 6.1   15.64      1  39        0         0
#> 158   20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 189   10.51      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 51.1  18.23      1  83        0         1
#> 55.1  19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 167   15.55      1  56        1         0
#> 79    16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 194   22.40      1  38        0         1
#> 69    23.23      1  25        0         1
#> 18.1  15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 81    14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 197.1 21.60      1  69        1         0
#> 181.1 16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 175   21.91      1  43        0         0
#> 52    10.42      1  52        0         1
#> 18.2  15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 96    14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 99.1  21.19      1  38        0         1
#> 153.1 21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 18.3  15.21      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 25.1   6.32      1  34        1         0
#> 105.1 19.75      1  60        0         0
#> 187    9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 189.1 10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 188.1 16.16      1  46        0         1
#> 177.1 12.53      1  75        0         0
#> 194.1 22.40      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 187.1  9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 181.2 16.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 52.1  10.42      1  52        0         1
#> 177.2 12.53      1  75        0         0
#> 25.2   6.32      1  34        1         0
#> 189.2 10.51      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 101.1  9.97      1  10        0         1
#> 50    10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 50.1  10.02      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 197.2 21.60      1  69        1         0
#> 175.1 21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 81.1  14.06      1  34        0         0
#> 188.2 16.16      1  46        0         1
#> 50.2  10.02      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 177.3 12.53      1  75        0         0
#> 6.2   15.64      1  39        0         0
#> 155.1 13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 194.2 22.40      1  38        0         1
#> 105.2 19.75      1  60        0         0
#> 180   14.82      1  37        0         0
#> 89    11.44      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 97.1  19.14      1  65        0         1
#> 181.3 16.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 90.1  20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 14    12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 37    12.52      1  57        1         0
#> 171.1 16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 178   24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 12.1  24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 143.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 115.1 24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 161   24.00      0  45        0         0
#> 160   24.00      0  31        1         0
#> 12.2  24.00      0  63        0         0
#> 54.1  24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 48    24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 1.1   24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 12.3  24.00      0  63        0         0
#> 131   24.00      0  66        0         0
#> 173.2 24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 72.1  24.00      0  40        0         1
#> 12.4  24.00      0  63        0         0
#> 151.2 24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 137.1 24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 137.2 24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 176.2 24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 54.2  24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 115.2 24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 144   24.00      0  28        0         1
#> 72.2  24.00      0  40        0         1
#> 138   24.00      0  44        1         0
#> 12.5  24.00      0  63        0         0
#> 144.1 24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 144.2 24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 87.1  24.00      0  27        0         0
#> 80.1  24.00      0  41        0         0
#> 21.1  24.00      0  47        0         0
#> 7.1   24.00      0  37        1         0
#> 160.1 24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 160.2 24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 21.2  24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 28.1  24.00      0  67        1         0
#> 17    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 152.1 24.00      0  36        0         1
#> 87.2  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 12.6  24.00      0  63        0         0
#> 160.3 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.936         NA        NA      NA
#> 2 age, Cure model           0.0178        NA        NA      NA
#> 3 grade_ii, Cure model      0.108         NA        NA      NA
#> 4 grade_iii, Cure model     0.844         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0125        NA        NA      NA
#> 2 grade_ii, Survival model    0.552         NA        NA      NA
#> 3 grade_iii, Survival model   0.189         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93643           0.01775           0.10841           0.84443  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9364326        0.0177531        0.1084149        0.8444348 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01252558       0.55184556       0.18871151 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2742999147 0.8271468018 0.6994838240 0.2168639363 0.2939963043
#>   [6] 0.5434089495 0.0034725291 0.0847250890 0.4854438052 0.1724618096
#>  [11] 0.9472389476 0.0188244993 0.5315821649 0.0847250890 0.3865890062
#>  [16] 0.4407743285 0.3346528198 0.4854438052 0.1328851960 0.0544902808
#>  [21] 0.3451116008 0.7498312375 0.2168639363 0.1724618096 0.7372695710
#>  [26] 0.5198231740 0.4296768542 0.1896341241 0.0285998389 0.0145322526
#>  [31] 0.5434089495 0.2550350617 0.6499918023 0.0721388495 0.0544902808
#>  [36] 0.3451116008 0.3865890062 0.1180100720 0.7246321931 0.0430627545
#>  [41] 0.8403996736 0.5434089495 0.9338515008 0.4740229034 0.8804882240
#>  [46] 0.6134482010 0.0015142215 0.0847250890 0.0721388495 0.8139671662
#>  [51] 0.1405058894 0.5434089495 0.8670047950 0.9472389476 0.1405058894
#>  [56] 0.9071954922 0.1040535790 0.2359892922 0.3041374256 0.3865890062
#>  [61] 0.4407743285 0.7498312375 0.0285998389 0.2359892922 0.9071954922
#>  [66] 0.6255501694 0.3451116008 0.9866156216 0.8403996736 0.7498312375
#>  [71] 0.9472389476 0.2075619315 0.0103908957 0.8804882240 0.6746116266
#>  [76] 0.0234888889 0.4186128539 0.5894289165 0.0544902808 0.0430627545
#>  [81] 0.1640722092 0.6499918023 0.4407743285 0.1253988511 0.7498312375
#>  [86] 0.4854438052 0.6746116266 0.0003028019 0.0285998389 0.1405058894
#>  [91] 0.6013940821 0.3142989161 0.1896341241 0.3451116008 0.2646611266
#>  [96] 0.1040535790 0.2840687286 0.7120323273 0.0064353147 0.8008610138
#> [101] 0.3142989161 0.6377257923 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   184    10   123    51    30    18   168    36     6    55    25   113    29 
#> 17.77 10.53 13.00 18.23 17.43 15.21 23.72 21.19 15.64 19.34  6.32 22.86 15.45 
#>    99    85   188   130   6.1   158   197   181   177  51.1  55.1   154   167 
#> 21.19 16.44 16.16 16.47 15.64 20.14 21.60 16.46 12.53 18.23 19.34 12.63 15.55 
#>    79    97   194    69  18.1    40    81   153 197.1 181.1   192    68   140 
#> 16.23 19.14 22.40 23.23 15.21 18.00 14.06 21.33 21.60 16.46 16.44 20.62 12.68 
#>   175    52  18.2    70   125   101    96    78  99.1 153.1    42   105  18.3 
#> 21.91 10.42 15.21  7.38 15.65  9.97 14.54 23.88 21.19 21.33 12.43 19.75 15.21 
#>    93  25.1 105.1   187    90    41   106  85.1 188.1 177.1 194.1  41.1 187.1 
#> 10.33  6.32 19.75  9.92 20.94 18.02 16.67 16.44 16.16 12.53 22.40 18.02  9.92 
#>    57 181.2   127  52.1 177.2  25.2     8   129 101.1   155   169     5   157 
#> 14.46 16.46  3.53 10.42 12.53  6.32 18.43 23.41  9.97 13.08 22.41 16.43 15.10 
#> 197.2 175.1   170  81.1 188.2   128 177.3   6.2 155.1    24 194.2 105.2   180 
#> 21.60 21.91 19.54 14.06 16.16 20.35 12.53 15.64 13.08 23.89 22.40 19.75 14.82 
#>   171  97.1 181.3   134  90.1   110    14   164    37 171.1    13   178    12 
#> 16.57 19.14 16.46 17.81 20.94 17.56 12.89 23.60 12.52 16.57 14.34 24.00 24.00 
#>   176   118   137 176.1   162    54    27    21    72    80    20  12.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 143.1    19   151    87   161   160  12.2  54.1   142   173   109   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48 151.1   102   1.1    47 173.1  12.3   131 173.2     3  20.1    34   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    28  72.1  12.4 151.2    74   148 137.1    65 137.2  48.1 176.2   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2     7   116   144  72.2   138  12.5 144.1     2 144.2    33   122   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1  80.1  21.1   7.1 160.1   174 160.2   112  21.2 148.1  28.1    17    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1  87.2   141  12.6 160.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0003906222              0.6083245513              0.2961966279 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.44994301              0.00813705              0.18996803 
#>   grade_iii, Cure model 
#>              0.66512028 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 149    8.37      1  33        1         0
#> 41.1  18.02      1  40        1         0
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 134   17.81      1  47        1         0
#> 29    15.45      1  68        1         0
#> 199   19.81      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 92    22.92      1  47        0         1
#> 110   17.56      1  65        0         1
#> 100   16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 30    17.43      1  78        0         0
#> 86    23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 110.1 17.56      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 58    19.34      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 180   14.82      1  37        0         0
#> 42.1  12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 50.1  10.02      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 184   17.77      1  38        0         0
#> 41.2  18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 96.1  14.54      1  33        0         1
#> 81    14.06      1  34        0         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 88.1  18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 133   14.65      1  57        0         0
#> 184.1 17.77      1  38        0         0
#> 108.1 18.29      1  39        0         1
#> 6     15.64      1  39        0         0
#> 195.1 11.76      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 134.2 17.81      1  47        1         0
#> 175   21.91      1  43        0         0
#> 42.2  12.43      1  49        0         1
#> 81.1  14.06      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 42.3  12.43      1  49        0         1
#> 66    22.13      1  53        0         0
#> 159   10.55      1  50        0         1
#> 167   15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 155   13.08      1  26        0         0
#> 167.1 15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 123   13.00      1  44        1         0
#> 85.1  16.44      1  36        0         0
#> 166.1 19.98      1  48        0         0
#> 108.2 18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 69.1  23.23      1  25        0         1
#> 96.2  14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 43    12.10      1  61        0         1
#> 136.1 21.83      1  43        0         1
#> 171   16.57      1  41        0         1
#> 159.1 10.55      1  50        0         1
#> 195.2 11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 14    12.89      1  21        0         0
#> 50.2  10.02      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 78.1  23.88      1  43        0         0
#> 150.1 20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 86.1  23.81      1  58        0         1
#> 32    20.90      1  37        1         0
#> 114.1 13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 30.1  17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 108.3 18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 15.1  22.68      1  48        0         0
#> 15.2  22.68      1  48        0         0
#> 41.3  18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 112   24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 82.1  24.00      0  34        0         0
#> 160   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 186   24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 95.1  24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 182.1 24.00      0  35        0         0
#> 82.2  24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 62.1  24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 160.1 24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 94.2  24.00      0  51        0         1
#> 174.1 24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 34.1  24.00      0  36        0         0
#> 94.3  24.00      0  51        0         1
#> 1.1   24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 46.1  24.00      0  71        0         0
#> 82.3  24.00      0  34        0         0
#> 21.1  24.00      0  47        0         0
#> 31.2  24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 17.1  24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 163.1 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 163.2 24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 65.1  24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 94.4  24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 115.1 24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 34.2  24.00      0  36        0         0
#> 121.1 24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 182.2 24.00      0  35        0         0
#> 82.4  24.00      0  34        0         0
#> 67.1  24.00      0  25        0         0
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 174.2 24.00      0  49        1         0
#> 11    24.00      0  42        0         1
#> 142   24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.450          NA        NA      NA
#> 2 age, Cure model          0.00814        NA        NA      NA
#> 3 grade_ii, Cure model     0.190          NA        NA      NA
#> 4 grade_iii, Cure model    0.665          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000391        NA        NA      NA
#> 2 grade_ii, Survival model  0.608           NA        NA      NA
#> 3 grade_iii, Survival model 0.296           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.449943          0.008137          0.189968          0.665120  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 250.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.44994301       0.00813705       0.18996803       0.66512028 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0003906222     0.6083245513     0.2961966279 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53376740 0.99275747 0.53376740 0.49603511 0.97074959 0.12123633
#>   [7] 0.47623549 0.22481356 0.56932411 0.75500302 0.77914812 0.29847985
#>  [13] 0.14950178 0.61247591 0.71393574 0.90354232 0.62962424 0.07417645
#>  [19] 0.87341498 0.61247591 0.14950178 0.44625424 0.68067616 0.91116868
#>  [25] 0.91116868 0.40593720 0.76305284 0.87341498 0.69737912 0.38574868
#>  [31] 0.03849228 0.72226031 0.46622285 0.95591883 0.42610694 0.59514355
#>  [37] 0.53376740 0.26283147 0.77914812 0.81070309 0.28671999 0.96334484
#>  [43] 0.47623549 0.18882979 0.56932411 0.77110143 0.59514355 0.49603511
#>  [49] 0.73054946 0.34337429 0.36457296 0.56932411 0.25017065 0.87341498
#>  [55] 0.81070309 0.69737912 0.87341498 0.23749910 0.93363311 0.73883717
#>  [61] 0.65533991 0.82647286 0.73883717 0.85789100 0.83439495 0.68067616
#>  [67] 0.40593720 0.49603511 0.33259460 0.97813386 0.12123633 0.77914812
#>  [73] 0.94847128 0.92613992 0.26283147 0.66382467 0.93363311 0.98546914
#>  [79] 0.84225220 0.38574868 0.03849228 0.36457296 0.80277742 0.34337429
#>  [85] 0.07417645 0.32150303 0.84225220 0.62962424 0.44625424 0.10471879
#>  [91] 0.49603511 0.01437070 0.18882979 0.18882979 0.53376740 0.64675817
#>  [97] 0.42610694 0.67226987 0.17593901 0.31007074 0.86568357 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    41   149  41.1   108    61    69    88   169   134    29    96    36    92 
#> 18.02  8.37 18.02 18.29 10.12 23.23 18.37 22.41 17.81 15.45 14.54 21.19 22.92 
#>   110   100    56    30    86    42 110.1  92.1    58    85    49  49.1   166 
#> 17.56 16.07 12.21 17.43 23.81 12.43 17.56 22.92 19.34 16.44 12.19 12.19 19.98 
#>   180  42.1   188   158    78    26    76    52   105   184  41.2   136  96.1 
#> 14.82 12.43 16.16 20.14 23.88 15.77 19.22 10.42 19.75 17.77 18.02 21.83 14.54 
#>    81   197    93  88.1    15 134.1   133 184.1 108.1     6    68   150 134.2 
#> 14.06 21.60 10.33 18.37 22.68 17.81 14.65 17.77 18.29 15.64 20.62 20.33 17.81 
#>   175  42.2  81.1 188.1  42.3    66   159   167   106   155 167.1   140   123 
#> 21.91 12.43 14.06 16.16 12.43 22.13 10.55 15.55 16.67 13.08 15.55 12.68 13.00 
#>  85.1 166.1 108.2   190   145  69.1  96.2    10    43 136.1   171 159.1   187 
#> 16.44 19.98 18.29 20.81 10.07 23.23 14.54 10.53 12.10 21.83 16.57 10.55  9.92 
#>    14 158.1  78.1 150.1    13  68.1  86.1    32  14.1  30.1    55   168 108.3 
#> 12.89 20.14 23.88 20.33 14.34 20.62 23.81 20.90 12.89 17.43 19.34 23.72 18.29 
#>    24  15.1  15.2  41.3    45 105.1   181    63    90    37   112    82   143 
#> 23.89 22.68 22.68 18.02 17.42 19.75 16.46 22.77 20.94 12.52 24.00 24.00 24.00 
#>  82.1   160    62   182   186   173    95    31    94  94.1  95.1  31.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   119 182.1  82.2    65   174   126   152   121    21 126.1   163    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1     1 160.1 173.1   172    17    33  94.2 174.1    34   135   132  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.3   1.1     9    75    20    71   165   122  46.1  82.3  21.1  31.2    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1   116   131    87 163.1   103 163.2    27  65.1    98  94.4   193    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2 121.1   176 182.2  82.4  67.1   156   191 174.2    11   142 131.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1   185    35 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007852926               1.199847554               0.514071907 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74010840              0.01554105             -0.27655265 
#>   grade_iii, Cure model 
#>              0.72778984 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 51    18.23      1  83        0         1
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 177   12.53      1  75        0         0
#> 49    12.19      1  48        1         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 90    20.94      1  50        0         1
#> 194   22.40      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 183    9.24      1  67        1         0
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 61    10.12      1  36        0         1
#> 4.1   17.64      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 52.1  10.42      1  52        0         1
#> 25     6.32      1  34        1         0
#> 51.1  18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 194.1 22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 155   13.08      1  26        0         0
#> 52.2  10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 39    15.59      1  37        0         1
#> 199.1 19.81      1  NA        0         1
#> 175.1 21.91      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 86.1  23.81      1  58        0         1
#> 155.1 13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 106   16.67      1  49        1         0
#> 52.3  10.42      1  52        0         1
#> 180.1 14.82      1  37        0         0
#> 45    17.42      1  54        0         1
#> 70     7.38      1  30        1         0
#> 16     8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 153   21.33      1  55        1         0
#> 169.1 22.41      1  46        0         0
#> 183.1  9.24      1  67        1         0
#> 49.1  12.19      1  48        1         0
#> 130   16.47      1  53        0         1
#> 91     5.33      1  61        0         1
#> 68    20.62      1  44        0         0
#> 91.1   5.33      1  61        0         1
#> 52.4  10.42      1  52        0         1
#> 13    14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 36.2  21.19      1  48        0         1
#> 52.5  10.42      1  52        0         1
#> 184   17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 169.2 22.41      1  46        0         0
#> 194.2 22.40      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 51.2  18.23      1  83        0         1
#> 91.2   5.33      1  61        0         1
#> 113   22.86      1  34        0         0
#> 96    14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 36.3  21.19      1  48        0         1
#> 58    19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 24.2  23.89      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 61.1  10.12      1  36        0         1
#> 150   20.33      1  48        0         0
#> 124.1  9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 14    12.89      1  21        0         0
#> 107   11.18      1  54        1         0
#> 194.3 22.40      1  38        0         1
#> 77.1   7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 128   20.35      1  35        0         1
#> 29.1  15.45      1  68        1         0
#> 153.1 21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 96.1  14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 25.1   6.32      1  34        1         0
#> 10.1  10.53      1  34        0         0
#> 169.3 22.41      1  46        0         0
#> 187    9.92      1  39        1         0
#> 23.1  16.92      1  61        0         0
#> 11    24.00      0  42        0         1
#> 11.1  24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 7.1   24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 198.1 24.00      0  66        0         1
#> 141   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 65    24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 9     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 142.1 24.00      0  53        0         0
#> 11.2  24.00      0  42        0         1
#> 173.1 24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 7.2   24.00      0  37        1         0
#> 20.1  24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 20.2  24.00      0  46        1         0
#> 119.3 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 74.1  24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 20.3  24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 54.1  24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 17.1  24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 53.1  24.00      0  32        0         1
#> 33    24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 75.1  24.00      0  21        1         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 131.1 24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 131.2 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 73    24.00      0  NA        0         1
#> 178.1 24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.740         NA        NA      NA
#> 2 age, Cure model           0.0155        NA        NA      NA
#> 3 grade_ii, Cure model     -0.277         NA        NA      NA
#> 4 grade_iii, Cure model     0.728         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00785        NA        NA      NA
#> 2 grade_ii, Survival model   1.20           NA        NA      NA
#> 3 grade_iii, Survival model  0.514          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74011           0.01554          -0.27655           0.72779  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74010840       0.01554105      -0.27655265       0.72778984 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007852926      1.199847554      0.514071907 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91585399 0.78177093 0.53167239 0.66170387 0.60846737 0.64446348
#>   [7] 0.86403605 0.88382310 0.69303021 0.48275700 0.08755443 0.68536643
#>  [13] 0.18387511 0.70771265 0.57037266 0.41474268 0.76252152 0.95409270
#>  [19] 0.72199141 0.74932970 0.46882558 0.94140040 0.64446348 0.81023126
#>  [25] 0.91585399 0.98156572 0.66170387 0.29043873 0.87893897 0.90687499
#>  [31] 0.79901468 0.41474268 0.84314803 0.35013140 0.83229506 0.91585399
#>  [37] 0.24625707 0.53167239 0.31169967 0.77552136 0.76905538 0.48275700
#>  [43] 0.18387511 0.24625707 0.83229506 0.62701474 0.73592263 0.91585399
#>  [49] 0.79901468 0.71490746 0.96613220 0.96213484 0.08755443 0.50960493
#>  [55] 0.35013140 0.95409270 0.88382310 0.74267261 0.98903217 0.58005526
#>  [61] 0.98903217 0.91585399 0.82683458 0.53167239 0.91585399 0.70038481
#>  [67] 0.90236061 0.85895061 0.35013140 0.41474268 0.62701474 0.75596753
#>  [73] 0.66170387 0.98903217 0.33108597 0.81583712 0.97390490 0.53167239
#>  [79] 0.61776600 0.79335971 0.86909760 0.08755443 0.94140040 0.59910323
#>  [85] 0.85377683 0.84846541 0.89781264 0.41474268 0.97390490 0.89316887
#>  [91] 0.58967161 0.78177093 0.50960493 0.96613220 0.81583712 0.87403846
#>  [97] 0.98156572 0.90687499 0.35013140 0.94989955 0.72199141 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    52    29    36    51   166    88   177    49   134   175    24    41    78 
#> 10.42 15.45 21.19 18.23 19.98 18.37 12.53 12.19 17.81 21.91 23.89 18.02 23.88 
#>   110    90   194     6   183    23    85    66    61  88.1   133  52.1    25 
#> 17.56 20.94 22.40 15.64  9.24 16.92 16.44 22.13 10.12 18.37 14.65 10.42  6.32 
#>  51.1    69    56    10   180 194.1   123   169   155  52.2    86  36.1    92 
#> 18.23 23.23 12.21 10.53 14.82 22.40 13.00 22.41 13.08 10.42 23.81 21.19 22.92 
#>   167    39 175.1  78.1  86.1 155.1    97   106  52.3 180.1    45    70    16 
#> 15.55 15.59 21.91 23.88 23.81 13.08 19.14 16.67 10.42 14.82 17.42  7.38  8.71 
#>  24.1   153 169.1 183.1  49.1   130    91    68  91.1  52.4    13  36.2  52.5 
#> 23.89 21.33 22.41  9.24 12.19 16.47  5.33 20.62  5.33 10.42 14.34 21.19 10.42 
#>   184   159   154 169.2 194.2  97.1    26  51.2  91.2   113    96    77  36.3 
#> 17.77 10.55 12.63 22.41 22.40 19.14 15.77 18.23  5.33 22.86 14.54  7.27 21.19 
#>    58    18    37  24.2  61.1   150   140    14   107 194.3  77.1    43   128 
#> 19.34 15.21 12.52 23.89 10.12 20.33 12.68 12.89 11.18 22.40  7.27 12.10 20.35 
#>  29.1 153.1  70.1  96.1    42  25.1  10.1 169.3   187  23.1    11  11.1   131 
#> 15.45 21.33  7.38 14.54 12.43  6.32 10.53 22.41  9.92 16.92 24.00 24.00 24.00 
#>   119     7    74   198    47   176    31   173   142   186    75   7.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 198.1   141   196    44    65   116     9   163 141.1 119.2   118 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    54   161   102    80     1    21     3    20   151   146    62   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1  11.2 173.1   137   7.2  20.1   112  20.2 119.3   156  74.1   160  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    35   104    83  20.3   122  54.1   165    17 104.1  47.1    64  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    53  53.1    33   172  75.1    95   132 131.1   193 109.1 163.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   178 131.2    22    12 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01259953                0.89524408                0.26291908 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.42602142             -0.01033608              0.15731393 
#>   grade_iii, Cure model 
#>              0.64764357 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 129   23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 140   12.68      1  59        1         0
#> 18    15.21      1  49        1         0
#> 134   17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 78    23.88      1  43        0         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 164   23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 123   13.00      1  44        1         0
#> 179   18.63      1  42        0         0
#> 25     6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 40    18.00      1  28        1         0
#> 39    15.59      1  37        0         1
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 93    10.33      1  52        0         1
#> 183    9.24      1  67        1         0
#> 81    14.06      1  34        0         0
#> 86    23.81      1  58        0         1
#> 192.2 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 190   20.81      1  42        1         0
#> 113   22.86      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 81.1  14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 183.1  9.24      1  67        1         0
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 8.1   18.43      1  32        0         0
#> 92.1  22.92      1  47        0         1
#> 125   15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 117   17.46      1  26        0         1
#> 183.2  9.24      1  67        1         0
#> 41.1  18.02      1  40        1         0
#> 155   13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 170.1 19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 78.1  23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 92.2  22.92      1  47        0         1
#> 179.2 18.63      1  42        0         0
#> 49.1  12.19      1  48        1         0
#> 29    15.45      1  68        1         0
#> 29.1  15.45      1  68        1         0
#> 192.3 16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 36    21.19      1  48        0         1
#> 18.1  15.21      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 86.1  23.81      1  58        0         1
#> 6     15.64      1  39        0         0
#> 23    16.92      1  61        0         0
#> 25.1   6.32      1  34        1         0
#> 164.1 23.60      1  76        0         1
#> 81.2  14.06      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 167   15.55      1  56        1         0
#> 179.3 18.63      1  42        0         0
#> 194.1 22.40      1  38        0         1
#> 105.1 19.75      1  60        0         0
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 192.4 16.44      1  31        1         0
#> 167.1 15.55      1  56        1         0
#> 124    9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 166   19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 88.1  18.37      1  47        0         0
#> 181   16.46      1  45        0         1
#> 124.1  9.73      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 154.1 12.63      1  20        1         0
#> 29.2  15.45      1  68        1         0
#> 66    22.13      1  53        0         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 82    24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 186.1 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 109.2 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 178   24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 143.2 24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 156.1 24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 19.1  24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 143.3 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 17    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 147.1 24.00      0  76        1         0
#> 94    24.00      0  51        0         1
#> 102.1 24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 121.2 24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 148.1 24.00      0  61        1         0
#> 185.1 24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 2     24.00      0   9        0         0
#> 19.2  24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 109.3 24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 176.1 24.00      0  43        0         1
#> 200.1 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 74.2  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 143.4 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.426         NA        NA      NA
#> 2 age, Cure model          -0.0103        NA        NA      NA
#> 3 grade_ii, Cure model      0.157         NA        NA      NA
#> 4 grade_iii, Cure model     0.648         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0126        NA        NA      NA
#> 2 grade_ii, Survival model    0.895         NA        NA      NA
#> 3 grade_iii, Survival model   0.263         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.42602          -0.01034           0.15731           0.64764  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.42602142      -0.01033608       0.15731393       0.64764357 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01259953       0.89524408       0.26291908 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0294846660 0.0616500510 0.7370871220 0.6203023544 0.3584743830
#>   [6] 0.2480147298 0.0009620377 0.6621264590 0.6621264590 0.2918581086
#>  [11] 0.8208228038 0.1788343708 0.0174874617 0.1340637977 0.7478885984
#>  [16] 0.5048601702 0.7262596255 0.2079392552 0.9685587775 0.9261237141
#>  [21] 0.8103401279 0.3906929526 0.6410428490 0.3150456326 0.0923909767
#>  [26] 0.7687944707 0.0358938405 0.3691286379 0.3372627837 0.5574122414
#>  [31] 0.4348967301 0.4348967301 0.8418272654 0.8948326758 0.6833151839
#>  [36] 0.0053674992 0.4348967301 0.3033315847 0.1257198087 0.0543146792
#>  [41] 0.8208228038 0.6833151839 0.9894522459 0.5152234112 0.2079392552
#>  [46] 0.8948326758 0.8736215629 0.8842587652 0.2480147298 0.0358938405
#>  [51] 0.5361842817 0.0840734951 0.4015689955 0.3799012040 0.8948326758
#>  [56] 0.3150456326 0.7153661699 0.1788343708 0.9261237141 0.0009620377
#>  [61] 0.7895105170 0.5152234112 0.2695379079 0.1008951686 0.8524390650
#>  [66] 0.0358938405 0.2079392552 0.7687944707 0.5891221739 0.5891221739
#>  [71] 0.4348967301 0.7999044915 0.1008951686 0.1171239413 0.6203023544
#>  [76] 0.0053674992 0.5467582649 0.4125465175 0.9685587775 0.0174874617
#>  [81] 0.6833151839 0.8524390650 0.1601922255 0.1979631798 0.5681038106
#>  [86] 0.2079392552 0.0616500510 0.1601922255 0.0122820336 0.6515622939
#>  [91] 0.4348967301 0.5681038106 0.4945543530 0.1426349124 0.4841968094
#>  [96] 0.9579177806 0.9473286354 0.2695379079 0.4236829779 0.1426349124
#> [101] 0.3372627837 0.7478885984 0.5891221739 0.0760868738 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   129   194   140    18   134     8    78    13  13.1   108    52   170   164 
#> 23.41 22.40 12.68 15.21 17.81 18.43 23.88 14.34 14.34 18.29 10.42 19.54 23.60 
#>    68   154   188   123   179    25    16    10   111   180    41   136    49 
#> 20.62 12.63 16.16 13.00 18.63  6.32  8.71 10.53 17.45 14.82 18.02 21.83 12.19 
#>    92   184    40    39   192 192.1    93   183    81    86 192.2    51   190 
#> 22.92 17.77 18.00 15.59 16.44 16.44 10.33  9.24 14.06 23.81 16.44 18.23 20.81 
#>   113  52.1  81.1   127   100 179.1 183.1   101   187   8.1  92.1   125   175 
#> 22.86 10.42 14.06  3.53 16.07 18.63  9.24  9.97  9.92 18.43 22.92 15.65 21.91 
#>    45   117 183.2  41.1   155 170.1  16.1  78.1   107 100.1    88   197    61 
#> 17.42 17.46  9.24 18.02 13.08 19.54  8.71 23.88 11.18 16.07 18.37 21.60 10.12 
#>  92.2 179.2  49.1    29  29.1 192.3   159 197.1    36  18.1  86.1     6    23 
#> 22.92 18.63 12.19 15.45 15.45 16.44 10.55 21.60 21.19 15.21 23.81 15.64 16.92 
#>  25.1 164.1  81.2  61.1   105    76   167 179.3 194.1 105.1   168    57 192.4 
#>  6.32 23.60 14.06 10.12 19.75 19.22 15.55 18.63 22.40 19.75 23.72 14.46 16.44 
#> 167.1    79   166     5    77   149  88.1   181 166.1  40.1 154.1  29.2    66 
#> 15.55 16.23 19.98 16.43  7.27  8.37 18.37 16.46 19.98 18.00 12.63 15.45 22.13 
#>    67    98    82   200   186    62   137    48    27   143   112 186.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   109    19     9   176    31  48.1   156 143.1   172   121    12   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    95    74  74.1   142 109.1 121.1 109.2   191   178    21 143.2   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   138   147 156.1   160 178.1  19.1    34 143.3   161    17    28   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185 112.1    46  46.1  28.1 147.1    94 102.1   122   173 121.2  67.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 185.1   152    84     2  19.2    38  12.1 109.3   144 176.1 200.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1 146.1    47   104    33   120  74.2 104.1 143.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005931783               0.517373840               0.447208851 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.2952241903           -0.0005747217           -0.4575329543 
#>   grade_iii, Cure model 
#>            0.1375647893 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 194   22.40      1  38        0         1
#> 59.1  10.16      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 105   19.75      1  60        0         0
#> 14    12.89      1  21        0         0
#> 81    14.06      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 60    13.15      1  38        1         0
#> 168   23.72      1  70        0         0
#> 24    23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 40    18.00      1  28        1         0
#> 128   20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 88    18.37      1  47        0         0
#> 42    12.43      1  49        0         1
#> 96    14.54      1  33        0         1
#> 56.1  12.21      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 149    8.37      1  33        1         0
#> 134.1 17.81      1  47        1         0
#> 30    17.43      1  78        0         0
#> 18.1  15.21      1  49        1         0
#> 194.1 22.40      1  38        0         1
#> 81.1  14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 96.2  14.54      1  33        0         1
#> 113.1 22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 36    21.19      1  48        0         1
#> 14.1  12.89      1  21        0         0
#> 40.1  18.00      1  28        1         0
#> 16     8.71      1  71        0         1
#> 100.1 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 157   15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 60.1  13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 40.2  18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 85    16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 69.1  23.23      1  25        0         1
#> 149.1  8.37      1  33        1         0
#> 177   12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 59.3  10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 14.2  12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 43    12.10      1  61        0         1
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 128.1 20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 5     16.43      1  51        0         1
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 195.1 11.76      1  NA        1         0
#> 128.2 20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 168.1 23.72      1  70        0         0
#> 197   21.60      1  69        1         0
#> 113.2 22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 50    10.02      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 184   17.77      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 153.1 21.33      1  55        1         0
#> 114.1 13.68      1  NA        0         0
#> 81.2  14.06      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 81.3  14.06      1  34        0         0
#> 76    19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 183.1  9.24      1  67        1         0
#> 10    10.53      1  34        0         0
#> 189.1 10.51      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 77     7.27      1  67        0         1
#> 105.1 19.75      1  60        0         0
#> 104   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 31    24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 137.1 24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 104.1 24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 3     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 22    24.00      0  52        1         0
#> 104.2 24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 160.1 24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 84.2  24.00      0  39        0         1
#> 21    24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 118   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 120.1 24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 38    24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 118.1 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 118.2 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 118.3 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 193.2 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 104.3 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 31.2  24.00      0  36        0         1
#> 151.1 24.00      0  42        0         0
#> 115.1 24.00      0  NA        1         0
#> 22.2  24.00      0  52        1         0
#> 46.1  24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 141.1 24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.295           NA        NA      NA
#> 2 age, Cure model         -0.000575        NA        NA      NA
#> 3 grade_ii, Cure model    -0.458           NA        NA      NA
#> 4 grade_iii, Cure model    0.138           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00593        NA        NA      NA
#> 2 grade_ii, Survival model   0.517          NA        NA      NA
#> 3 grade_iii, Survival model  0.447          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.2952242        -0.0005747        -0.4575330         0.1375648  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.2952241903    -0.0005747217    -0.4575329543     0.1375647893 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005931783      0.517373840      0.447208851 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74111615 0.54368381 0.88416333 0.31248200 0.17071015 0.49520995
#>   [7] 0.83356100 0.78814773 0.76158028 0.81419421 0.11894200 0.05354087
#>  [13] 0.35628513 0.24865880 0.57131860 0.45487007 0.85913196 0.59695591
#>  [19] 0.55298489 0.87178093 0.76838455 0.88416333 0.62952256 0.96137019
#>  [25] 0.59695591 0.64557103 0.74111615 0.31248200 0.78814773 0.53434936
#>  [31] 0.76838455 0.76838455 0.24865880 0.70536881 0.42103001 0.83356100
#>  [37] 0.57131860 0.95568819 0.70536881 0.29604918 0.75475147 0.71981297
#>  [43] 0.81419421 0.65349597 0.57131860 0.67604809 0.38444430 0.90866820
#>  [49] 0.67604809 0.63758844 0.82709413 0.19395791 0.48501650 0.19395791
#>  [55] 0.96137019 0.86546939 0.99457578 0.97256338 0.51504179 0.83356100
#>  [61] 0.94426430 0.92071521 0.59695591 0.90259578 0.44390344 0.93254004
#>  [67] 0.92071521 0.89647205 0.45487007 0.39745140 0.69804493 0.34162491
#>  [73] 0.72699263 0.45487007 0.93842903 0.11894200 0.37077226 0.24865880
#>  [79] 0.98368233 0.43263354 0.85275270 0.05354087 0.87178093 0.65349597
#>  [85] 0.62132010 0.98368233 0.39745140 0.78814773 0.65349597 0.78814773
#>  [91] 0.52479806 0.23093960 0.94426430 0.91469614 0.67604809 0.73410571
#>  [97] 0.56223595 0.97814382 0.49520995 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    18     8    56   194   129   105    14    81   133    60   168    24   175 
#> 15.21 18.43 12.21 22.40 23.41 19.75 12.89 14.06 14.65 13.15 23.72 23.89 21.91 
#>   113    40   128   154   134    88    42    96  56.1   110   149 134.1    30 
#> 22.86 18.00 20.35 12.63 17.81 18.37 12.43 14.54 12.21 17.56  8.37 17.81 17.43 
#>  18.1 194.1  81.1    97  96.1  96.2 113.1   100    36  14.1  40.1    16 100.1 
#> 15.21 22.40 14.06 19.14 14.54 14.54 22.86 16.07 21.19 12.89 18.00  8.71 16.07 
#>   169   157    26  60.1    45  40.2   192   139   159    85   117   155    69 
#> 22.41 15.10 15.77 13.15 17.42 18.00 16.44 21.49 10.55 16.44 17.46 13.08 23.23 
#>   150  69.1 149.1   177   127    70    55  14.2   183    52 134.2    43    32 
#> 20.33 23.23  8.37 12.53  3.53  7.38 19.34 12.89  9.24 10.42 17.81 12.10 20.90 
#>    93  52.1    49 128.1   153     5    66    39 128.2   145 168.1   197 113.2 
#> 10.33 10.42 12.19 20.35 21.33 16.43 22.13 15.59 20.35 10.07 23.72 21.60 22.86 
#>    91    90   140  24.1  42.1  45.1   184  91.1 153.1  81.2  45.2  81.3    76 
#>  5.33 20.94 12.68 23.89 12.43 17.42 17.77  5.33 21.33 14.06 17.42 14.06 19.22 
#>    92 183.1    10 192.1    29    41    77 105.1   104    98    31    71    17 
#> 22.92  9.24 10.53 16.44 15.45 18.02  7.27 19.75 24.00 24.00 24.00 24.00 24.00 
#>   126    47   160  71.1    84  84.1   200   137   103 137.1    46    95    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34 104.1    65    44    20     7   144   148   198     3    87    22 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   151   193 160.1  95.1   121  17.1   120  84.2    21   176     2   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   174   116   118 193.1     1   138    53 120.1   182    38  22.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 118.1   7.1    33  31.1    12   119 118.2    75 118.3 103.1    67 193.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 104.3 176.1  31.2 151.1  22.2  46.1     9   152   185 200.1 141.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  65.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003323101               0.718575331               0.563655200 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.56491573              0.01063098             -0.44458387 
#>   grade_iii, Cure model 
#>              0.97322507 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 108   18.29      1  39        0         1
#> 164   23.60      1  76        0         1
#> 179   18.63      1  42        0         0
#> 91     5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 13    14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 51    18.23      1  83        0         1
#> 107   11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 155   13.08      1  26        0         0
#> 157.1 15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 105   19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 59.1  10.16      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 179.1 18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 189   10.51      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 69    23.23      1  25        0         1
#> 189.1 10.51      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 32    20.90      1  37        1         0
#> 78    23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 189.2 10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 194.1 22.40      1  38        0         1
#> 130   16.47      1  53        0         1
#> 5     16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 157.2 15.10      1  47        0         0
#> 15    22.68      1  48        0         0
#> 101    9.97      1  10        0         1
#> 150   20.33      1  48        0         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 42    12.43      1  49        0         1
#> 39.1  15.59      1  37        0         1
#> 197.1 21.60      1  69        1         0
#> 101.1  9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 181   16.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 78.1  23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 78.2  23.88      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 51.1  18.23      1  83        0         1
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 105.1 19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 30    17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 197.2 21.60      1  69        1         0
#> 125   15.65      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 100   16.07      1  60        0         0
#> 125.2 15.65      1  67        1         0
#> 59.2  10.16      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 106   16.67      1  49        1         0
#> 93    10.33      1  52        0         1
#> 43.1  12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 179.2 18.63      1  42        0         0
#> 114.1 13.68      1  NA        0         0
#> 199.1 19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 197.3 21.60      1  69        1         0
#> 179.3 18.63      1  42        0         0
#> 24.1  23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 105.2 19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 197.4 21.60      1  69        1         0
#> 101.2  9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 107.1 11.18      1  54        1         0
#> 133   14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 108.1 18.29      1  39        0         1
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 59.3  10.16      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 78.3  23.88      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 146   24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 152.1 24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 2.1   24.00      0   9        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 74    24.00      0  43        0         1
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 135   24.00      0  58        1         0
#> 135.1 24.00      0  58        1         0
#> 191   24.00      0  60        0         1
#> 67.1  24.00      0  25        0         0
#> 119.1 24.00      0  17        0         0
#> 143   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 161   24.00      0  45        0         0
#> 12    24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 44    24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 156   24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 152.2 24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 176.1 24.00      0  43        0         1
#> 138.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 122   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 27.1  24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 22.1  24.00      0  52        1         0
#> 2.2   24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 116.2 24.00      0  58        0         1
#> 162.2 24.00      0  51        0         0
#> 163.2 24.00      0  66        0         0
#> 135.2 24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 33.1  24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 54.1  24.00      0  53        1         0
#> 104.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 132   24.00      0  55        0         0
#> 122.1 24.00      0  66        0         0
#> 119.2 24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 2.3   24.00      0   9        0         0
#> 116.3 24.00      0  58        0         1
#> 9.1   24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 163.3 24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 82.1  24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.565         NA        NA      NA
#> 2 age, Cure model           0.0106        NA        NA      NA
#> 3 grade_ii, Cure model     -0.445         NA        NA      NA
#> 4 grade_iii, Cure model     0.973         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00332        NA        NA      NA
#> 2 grade_ii, Survival model   0.719          NA        NA      NA
#> 3 grade_iii, Survival model  0.564          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.56492           0.01063          -0.44458           0.97323  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 243 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.56491573       0.01063098      -0.44458387       0.97322507 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003323101      0.718575331      0.563655200 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53419679 0.15266875 0.46592094 0.98454840 0.88075570 0.83067113
#>   [7] 0.71149664 0.96112345 0.10671014 0.55359935 0.89714829 0.36689571
#>  [13] 0.15266875 0.77148836 0.69368395 0.84733429 0.77148836 0.23350260
#>  [19] 0.42686352 0.25865710 0.74601774 0.46592094 0.38735101 0.68472947
#>  [25] 0.83067113 0.40720846 0.76300657 0.18126068 0.97678313 0.37723621
#>  [31] 0.04966579 0.61112555 0.99228713 0.30622015 0.50447105 0.25865710
#>  [37] 0.63928620 0.67569054 0.63928620 0.77148836 0.24603240 0.92956455
#>  [43] 0.41701891 0.85571409 0.95322553 0.87245344 0.74601774 0.30622015
#>  [49] 0.92956455 0.45607910 0.65761758 0.20732830 0.04966579 0.01597011
#>  [55] 0.04966579 0.50447105 0.79677434 0.55359935 0.91332963 0.42686352
#>  [61] 0.59206078 0.60157592 0.10671014 0.30622015 0.72035843 0.72035843
#>  [67] 0.70258009 0.72035843 0.18126068 0.62070264 0.92146419 0.88075570
#>  [73] 0.96896614 0.39726285 0.35641100 0.46592094 0.57277782 0.81384992
#>  [79] 0.30622015 0.46592094 0.01597011 0.52420679 0.42686352 0.58246810
#>  [85] 0.30622015 0.92956455 0.13647914 0.89714829 0.80530432 0.29411180
#>  [91] 0.53419679 0.28206952 0.86411204 0.81384992 0.62070264 0.04966579
#>  [97] 0.65761758 0.22037383 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   108   164   179    91    43    13    26    70    86    51   107    90 164.1 
#> 18.29 23.60 18.63  5.33 12.10 14.34 15.77  7.38 23.81 18.23 11.18 20.94 23.60 
#>   157   188   155 157.1    63   105   194    39 179.1   190    79  13.1   128 
#> 15.10 16.16 13.08 15.10 22.77 19.75 22.40 15.59 18.63 20.81 16.23 14.34 20.35 
#>    29    69    25    32    78    23   127   197     8 194.1   130     5 130.1 
#> 15.45 23.23  6.32 20.90 23.88 16.92  3.53 21.60 18.43 22.40 16.47 16.43 16.47 
#> 157.2    15   101   150   177   149    42  39.1 197.1 101.1   170   181    92 
#> 15.10 22.68  9.97 20.33 12.53  8.37 12.43 15.59 21.60  9.97 19.54 16.46 22.92 
#>  78.1    24  78.2   8.1   180  51.1    10 105.1   111    30  86.1 197.2   125 
#> 23.88 23.89 23.88 18.43 14.82 18.23 10.53 19.75 17.45 17.43 23.81 21.60 15.65 
#> 125.1   100 125.2  69.1   106    93  43.1    77    68    99 179.2   184    57 
#> 15.65 16.07 15.65 23.23 16.67 10.33 12.10  7.27 20.62 21.19 18.63 17.77 14.46 
#> 197.3 179.3  24.1    88 105.2   117 197.4 101.2   168 107.1   133   175 108.1 
#> 21.60 18.63 23.89 18.37 19.75 17.46 21.60  9.97 23.72 11.18 14.65 21.91 18.29 
#>    66    37  57.1 106.1  78.3 181.1   113   146   152    28    65     2 152.1 
#> 22.13 12.52 14.46 16.67 23.88 16.46 22.86 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    71    75   2.1    19    67    27   119    35   165   138    22   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   176 116.1   198   109   147   135 135.1   191  67.1 119.1   143    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    12    82    94   163 163.1    54    44   118 109.1  12.1   156  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 152.2    33  44.1 176.1 138.1    98   122  71.1 147.1  27.1   162    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1   2.2 162.1   103   160   104   196  74.1 116.2 162.2 163.2 135.2     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1     7  54.1 104.1   173   132 122.1 119.2   141   121   2.3 116.3   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 163.3  28.1  82.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01095659               -0.01151266               -0.25872106 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.0782438               0.0141283               0.4074706 
#>   grade_iii, Cure model 
#>               1.1126977 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 56    12.21      1  60        0         0
#> 157   15.10      1  47        0         0
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 55    19.34      1  69        0         1
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 134   17.81      1  47        1         0
#> 76    19.22      1  54        0         1
#> 130   16.47      1  53        0         1
#> 99    21.19      1  38        0         1
#> 90    20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 77     7.27      1  67        0         1
#> 194   22.40      1  38        0         1
#> 192   16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 30    17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 52    10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 63.1  22.77      1  31        1         0
#> 149    8.37      1  33        1         0
#> 100.1 16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 128   20.35      1  35        0         1
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 108   18.29      1  39        0         1
#> 183    9.24      1  67        1         0
#> 100.2 16.07      1  60        0         0
#> 57    14.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 51    18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 57.2  14.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 99.1  21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 85.1  16.44      1  36        0         0
#> 195.1 11.76      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 76.1  19.22      1  54        0         1
#> 195.2 11.76      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 18    15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 130.1 16.47      1  53        0         1
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 90.1  20.94      1  50        0         1
#> 190   20.81      1  42        1         0
#> 149.2  8.37      1  33        1         0
#> 14.1  12.89      1  21        0         0
#> 159.1 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 195.3 11.76      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 25     6.32      1  34        1         0
#> 76.2  19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 14.2  12.89      1  21        0         0
#> 97.1  19.14      1  65        0         1
#> 18.1  15.21      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 145.1 10.07      1  65        1         0
#> 129   23.41      1  53        1         0
#> 124.1  9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 25.1   6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 90.2  20.94      1  50        0         1
#> 177   12.53      1  75        0         0
#> 183.1  9.24      1  67        1         0
#> 25.2   6.32      1  34        1         0
#> 93.1  10.33      1  52        0         1
#> 101    9.97      1  10        0         1
#> 194.1 22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 166.1 19.98      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 171.1 16.57      1  41        0         1
#> 51.1  18.23      1  83        0         1
#> 6     15.64      1  39        0         0
#> 128.1 20.35      1  35        0         1
#> 92    22.92      1  47        0         1
#> 55.1  19.34      1  69        0         1
#> 91.2   5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 181   16.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 158.1 20.14      1  74        1         0
#> 69.1  23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 149.3  8.37      1  33        1         0
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 35.1  24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 119   24.00      0  17        0         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 7     24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 46    24.00      0  71        0         0
#> 62    24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 54.1  24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 173   24.00      0  19        0         1
#> 137.1 24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 131   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 7.1   24.00      0  37        1         0
#> 173.1 24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 53.1  24.00      0  32        0         1
#> 19.1  24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 17    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 22    24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 141.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 82    24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 94.2  24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 72.1  24.00      0  40        0         1
#> 161   24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 33.1  24.00      0  53        0         0
#> 54.2  24.00      0  53        1         0
#> 165.1 24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 160.1 24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 33.2  24.00      0  53        0         0
#> 200.1 24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 22.1  24.00      0  52        1         0
#> 142.1 24.00      0  53        0         0
#> 17.2  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.08          NA        NA      NA
#> 2 age, Cure model           0.0141        NA        NA      NA
#> 3 grade_ii, Cure model      0.407         NA        NA      NA
#> 4 grade_iii, Cure model     1.11          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0110        NA        NA      NA
#> 2 grade_ii, Survival model   -0.0115        NA        NA      NA
#> 3 grade_iii, Survival model  -0.259         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.07824           0.01413           0.40747           1.11270  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.0782438        0.0141283        0.4074706        1.1126977 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01095659      -0.01151266      -0.25872106 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.13741931 0.71138845 0.82368981 0.73459959 0.87336507 0.60426032
#>   [7] 0.43580741 0.83805283 0.67153537 0.56896633 0.46547816 0.62137692
#>  [13] 0.24667217 0.28541995 0.51347859 0.94109828 0.20313730 0.64681299
#>  [19] 0.15572023 0.59558863 0.64681299 0.85931939 0.18747994 0.85222514
#>  [25] 0.24667217 0.15572023 0.91453907 0.67153537 0.70345141 0.34663632
#>  [31] 0.49442093 0.90774206 0.54176720 0.89412983 0.67153537 0.74975486
#>  [37] 0.74975486 0.77219381 0.55106897 0.81642480 0.79446538 0.74975486
#>  [43] 0.53243601 0.40423647 0.23251107 0.24667217 0.52299337 0.64681299
#>  [49] 0.91453907 0.46547816 0.57789389 0.71923078 0.37056137 0.83089572
#>  [55] 0.62137692 0.08061680 0.28541995 0.32249059 0.91453907 0.77219381
#>  [61] 0.83805283 0.96750618 0.96750618 0.94778054 0.46547816 0.42523683
#>  [67] 0.58674303 0.77219381 0.49442093 0.71923078 0.73459959 0.02976968
#>  [73] 0.87336507 0.05912007 0.43580741 0.94778054 0.28541995 0.80913900
#>  [79] 0.89412983 0.94778054 0.85931939 0.88718515 0.20313730 0.38245345
#>  [85] 0.40423647 0.79446538 0.60426032 0.55106897 0.69543972 0.34663632
#>  [91] 0.11795423 0.43580741 0.96750618 0.32249059 0.63831631 0.98703033
#>  [97] 0.38245345 0.08061680 0.98703033 0.91453907 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   113    29    56   157   145   171    55   159   100   134    76   130    99 
#> 22.86 15.45 12.21 15.10 10.07 16.57 19.34 10.55 16.07 17.81 19.22 16.47 21.19 
#>    90   179    77   194   192    63    30    85    93    15    52    36  63.1 
#> 20.94 18.63  7.27 22.40 16.44 22.77 17.43 16.44 10.33 22.68 10.42 21.19 22.77 
#>   149 100.1   167   128    97    16   108   183 100.2    57  57.1    14    51 
#>  8.37 16.07 15.55 20.35 19.14  8.71 18.29  9.24 16.07 14.46 14.46 12.89 18.23 
#>    42   140  57.2    88   166   197  99.1     8  85.1 149.1  76.1   110    18 
#> 12.43 12.68 14.46 18.37 19.98 21.60 21.19 18.43 16.44  8.37 19.22 17.56 15.21 
#>   150   107 130.1    69  90.1   190 149.2  14.1 159.1    91  91.1    25  76.2 
#> 20.33 11.18 16.47 23.23 20.94 20.81  8.37 12.89 10.55  5.33  5.33  6.32 19.22 
#>   170   117  14.2  97.1  18.1 157.1    86 145.1   129    58  25.1  90.2   177 
#> 19.54 17.46 12.89 19.14 15.21 15.10 23.81 10.07 23.41 19.34  6.32 20.94 12.53 
#> 183.1  25.2  93.1   101 194.1   158 166.1 140.1 171.1  51.1     6 128.1    92 
#>  9.24  6.32 10.33  9.97 22.40 20.14 19.98 12.68 16.57 18.23 15.64 20.35 22.92 
#>  55.1  91.2 190.1   181   127 158.1  69.1 127.1 149.3   148   121    19    83 
#> 19.34  5.33 20.81 16.46  3.53 20.14 23.23  3.53  8.37 24.00 24.00 24.00 24.00 
#>    35    47   122    48    94  35.1    38   103   119    95   193    65   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    54    33    71 103.1   135     7     9   160   151   116    46    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1  54.1   126 119.1   173 137.1   196  47.1 122.1    67   131   186    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1 173.1   112  65.1   191  53.1  19.1    31   132   165    12    17    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  17.1   141  94.1   172 141.1     1    82   9.1  95.1  94.2  72.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   163    87  33.1  54.2 165.1   200 160.1  87.1   178  33.2 200.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1  22.1 142.1  17.2   156 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001589324               0.714779214               0.629033887 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              1.08769592             -0.02306688             -0.02709405 
#>   grade_iii, Cure model 
#>              0.60973651 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 117   17.46      1  26        0         1
#> 100   16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 181   16.46      1  45        0         1
#> 113.1 22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 108   18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 13.1  14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 15    22.68      1  48        0         0
#> 41    18.02      1  40        1         0
#> 13.2  14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 86.1  23.81      1  58        0         1
#> 13.3  14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 13.4  14.34      1  54        0         1
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 159   10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 49.1  12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 6     15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 101.1  9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 192   16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 58.1  19.34      1  39        0         0
#> 42    12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 26    15.77      1  49        0         1
#> 184   17.77      1  38        0         0
#> 171.1 16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 117.1 17.46      1  26        0         1
#> 197   21.60      1  69        1         0
#> 130   16.47      1  53        0         1
#> 153.1 21.33      1  55        1         0
#> 66    22.13      1  53        0         0
#> 123   13.00      1  44        1         0
#> 26.1  15.77      1  49        0         1
#> 43    12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 181.1 16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 108.1 18.29      1  39        0         1
#> 92    22.92      1  47        0         1
#> 181.2 16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 171.2 16.57      1  41        0         1
#> 39    15.59      1  37        0         1
#> 181.3 16.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 81    14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 170   19.54      1  43        0         1
#> 25.1   6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 159.1 10.55      1  50        0         1
#> 140   12.68      1  59        1         0
#> 49.2  12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 93.2  10.33      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 70     7.38      1  30        1         0
#> 153.2 21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 101.2  9.97      1  10        0         1
#> 24.1  23.89      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 49.3  12.19      1  48        1         0
#> 63.1  22.77      1  31        1         0
#> 187    9.92      1  39        1         0
#> 13.5  14.34      1  54        0         1
#> 41.1  18.02      1  40        1         0
#> 91     5.33      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 57.2  14.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 41.2  18.02      1  40        1         0
#> 13.6  14.34      1  54        0         1
#> 195.1 11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 78    23.88      1  43        0         0
#> 166   19.98      1  48        0         0
#> 109   24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 84.1  24.00      0  39        0         1
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 173.1 24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 122.1 24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 156.1 24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 118.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 119.1 24.00      0  17        0         0
#> 17.1  24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 46    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 156.2 24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 84.2  24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 19.1  24.00      0  57        0         1
#> 185.1 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 132.1 24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 7.1   24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 185.2 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 132.2 24.00      0  55        0         0
#> 142.2 24.00      0  53        0         0
#> 116.2 24.00      0  58        0         1
#> 22.1  24.00      0  52        1         0
#> 62.1  24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 65.1  24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 185.3 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 165.2 24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 80.1  24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 152.2 24.00      0  36        0         1
#> 46.1  24.00      0  71        0         0
#> 173.2 24.00      0  19        0         1
#> 31    24.00      0  36        0         1
#> 17.2  24.00      0  38        0         1
#> 146.2 24.00      0  63        1         0
#> 198.1 24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   1.09          NA        NA      NA
#> 2 age, Cure model          -0.0231        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0271        NA        NA      NA
#> 4 grade_iii, Cure model     0.610         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00159        NA        NA      NA
#> 2 grade_ii, Survival model   0.715          NA        NA      NA
#> 3 grade_iii, Survival model  0.629          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          1.08770          -0.02307          -0.02709           0.60974  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 256.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       1.08769592      -0.02306688      -0.02709405       0.60973651 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001589324      0.714779214      0.629033887 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79302375 0.36156159 0.22015696 0.50223202 0.86436504 0.12459171
#>   [7] 0.40470712 0.60498471 0.70709442 0.59694498 0.66550057 0.22015696
#>  [13] 0.25269111 0.53868743 0.58062116 0.79302375 0.41521066 0.28104742
#>  [19] 0.55608100 0.79302375 0.16380448 0.12459171 0.79302375 0.74756200
#>  [25] 0.79302375 0.94807054 0.88767490 0.43533331 0.03554087 0.97956620
#>  [31] 0.63602972 0.29554315 0.77392791 0.92110025 0.75415990 0.52962557
#>  [37] 0.88767490 0.91555391 0.73416391 0.46456063 0.70021506 0.52055562
#>  [43] 0.94807054 0.96913753 0.84652439 0.69325177 0.98473478 0.50223202
#>  [49] 0.87606420 0.76075333 0.72075975 0.58878659 0.63602972 0.93202433
#>  [55] 0.70709442 0.87021711 0.60498471 0.34901458 0.65813490 0.36156159
#>  [61] 0.33586218 0.85252146 0.72075975 0.90996603 0.76734330 0.66550057
#>  [67] 0.77392791 0.53868743 0.20309927 0.66550057 0.45488439 0.63602972
#>  [73] 0.74089292 0.66550057 0.30998529 0.39391484 0.83447611 0.88187146
#>  [79] 0.93202433 0.48386565 0.98473478 0.18444343 0.84052553 0.92110025
#>  [85] 0.85846867 0.88767490 0.62056458 0.93202433 0.43533331 0.97436782
#>  [91] 0.36156159 0.62830199 0.94807054 0.03554087 0.88767490 0.25269111
#>  [97] 0.96387447 0.79302375 0.55608100 0.99492140 0.48386565 0.77392791
#> [103] 0.30998529 0.55608100 0.79302375 0.42541291 0.09111083 0.47422092
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    13   153   113    58   154    86    90   117   100   110   181 113.1    63 
#> 14.34 21.33 22.86 19.34 12.63 23.81 20.94 17.46 16.07 17.56 16.46 22.86 22.77 
#>   108    40  13.1    32    15    41  13.2   168  86.1  13.3    18  13.4   101 
#> 18.29 18.00 14.34 20.90 22.68 18.02 14.34 23.72 23.81 14.34 15.21 14.34  9.97 
#>    49    68    24    77   171   169    57   159   157     8  49.1   107     6 
#> 12.19 20.62 23.89  7.27 16.57 22.41 14.46 10.55 15.10 18.43 12.19 11.18 15.64 
#>   150    79    97 101.1   149   155   192    25  58.1    42   180    26   184 
#> 20.33 16.23 19.14  9.97  8.37 13.08 16.44  6.32 19.34 12.43 14.82 15.77 17.77 
#> 171.1    93 100.1   177 117.1   197   130 153.1    66   123  26.1    43   133 
#> 16.57 10.33 16.07 12.53 17.46 21.60 16.47 21.33 22.13 13.00 15.77 12.10 14.65 
#> 181.1  57.1 108.1    92 181.2   128 171.2    39 181.3   194    99    81    56 
#> 16.46 14.46 18.29 22.92 16.46 20.35 16.57 15.59 16.46 22.40 21.19 14.06 12.21 
#>  93.1   170  25.1    69    60 159.1   140  49.2    45  93.2  68.1    70 153.2 
#> 10.33 19.54  6.32 23.23 13.15 10.55 12.68 12.19 17.42 10.33 20.62  7.38 21.33 
#>    23 101.2  24.1  49.3  63.1   187  13.5  41.1    91 170.1  57.2 194.1  41.2 
#> 16.92  9.97 23.89 12.19 22.77  9.92 14.34 18.02  5.33 19.54 14.46 22.40 18.02 
#>  13.6   190    78   166   109    84   165   118   122   186   102   173    72 
#> 14.34 20.81 23.88 19.98 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   142   182  84.1    35   119 173.1   146    95   152 122.1 165.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   135 156.1    47   147   132    80 152.1    22 118.1    12    62    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65   116   185   143 116.1     1 119.1  17.1 146.1    19    46    44 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1  84.2   121    87     7  19.1 185.1 132.1   172   104   163    54   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94 185.2   137 132.2 142.2 116.2  22.1  62.1  65.1   191 185.3   103 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  95.1  80.1   198 152.2  46.1 173.2    31  17.2 146.2 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005748278               1.008700286               0.492568313 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93893702              0.01213207              0.54507661 
#>   grade_iii, Cure model 
#>              1.14897318 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 79    16.23      1  54        1         0
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 43    12.10      1  61        0         1
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 192   16.44      1  31        1         0
#> 166   19.98      1  48        0         0
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 97    19.14      1  65        0         1
#> 181   16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 194.1 22.40      1  38        0         1
#> 188   16.16      1  46        0         1
#> 107   11.18      1  54        1         0
#> 51    18.23      1  83        0         1
#> 107.1 11.18      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 81    14.06      1  34        0         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 61    10.12      1  36        0         1
#> 57.1  14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 187    9.92      1  39        1         0
#> 57.2  14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 55    19.34      1  69        0         1
#> 187.1  9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 125.1 15.65      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 159   10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 110   17.56      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 40    18.00      1  28        1         0
#> 187.2  9.92      1  39        1         0
#> 189.1 10.51      1  NA        1         0
#> 187.3  9.92      1  39        1         0
#> 4.1   17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 29    15.45      1  68        1         0
#> 89    11.44      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 60    13.15      1  38        1         0
#> 29.1  15.45      1  68        1         0
#> 81.1  14.06      1  34        0         0
#> 139   21.49      1  63        1         0
#> 68.1  20.62      1  44        0         0
#> 128   20.35      1  35        0         1
#> 26.1  15.77      1  49        0         1
#> 42.1  12.43      1  49        0         1
#> 92.1  22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 78    23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 180   14.82      1  37        0         0
#> 97.2  19.14      1  65        0         1
#> 100.1 16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 45.1  17.42      1  54        0         1
#> 149    8.37      1  33        1         0
#> 125.2 15.65      1  67        1         0
#> 194.2 22.40      1  38        0         1
#> 166.2 19.98      1  48        0         0
#> 41    18.02      1  40        1         0
#> 41.1  18.02      1  40        1         0
#> 29.2  15.45      1  68        1         0
#> 113.1 22.86      1  34        0         0
#> 97.3  19.14      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 8     18.43      1  32        0         0
#> 96    14.54      1  33        0         1
#> 188.1 16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 32    20.90      1  37        1         0
#> 101    9.97      1  10        0         1
#> 55.1  19.34      1  69        0         1
#> 164.1 23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 197   21.60      1  69        1         0
#> 40.1  18.00      1  28        1         0
#> 76.1  19.22      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 43.1  12.10      1  61        0         1
#> 59.1  10.16      1  NA        1         0
#> 41.2  18.02      1  40        1         0
#> 5.1   16.43      1  51        0         1
#> 41.3  18.02      1  40        1         0
#> 25     6.32      1  34        1         0
#> 146   24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 174   24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 64.1  24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 185   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 54    24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 176   24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 174.2 24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 46.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 83.2  24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 53    24.00      0  32        0         1
#> 48.1  24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 82    24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 147.1 24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 83.3  24.00      0   6        0         0
#> 191   24.00      0  60        0         1
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 53.1  24.00      0  32        0         1
#> 11.2  24.00      0  42        0         1
#> 83.4  24.00      0   6        0         0
#> 191.1 24.00      0  60        0         1
#> 165.1 24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 147.2 24.00      0  76        1         0
#> 21    24.00      0  47        0         0
#> 28.1  24.00      0  67        1         0
#> 138.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 196   24.00      0  19        0         0
#> 21.1  24.00      0  47        0         0
#> 64.2  24.00      0  43        0         0
#> 148   24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 80.1  24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 7.1   24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 72.1  24.00      0  40        0         1
#> 35.1  24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 35.2  24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 191.2 24.00      0  60        0         1
#> 119.1 24.00      0  17        0         0
#> 94.1  24.00      0  51        0         1
#> 83.5  24.00      0   6        0         0
#> 7.2   24.00      0  37        1         0
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.939         NA        NA      NA
#> 2 age, Cure model           0.0121        NA        NA      NA
#> 3 grade_ii, Cure model      0.545         NA        NA      NA
#> 4 grade_iii, Cure model     1.15          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00575        NA        NA      NA
#> 2 grade_ii, Survival model   1.01           NA        NA      NA
#> 3 grade_iii, Survival model  0.493          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93894           0.01213           0.54508           1.14897  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93893702       0.01213207       0.54507661       1.14897318 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005748278      1.008700286      0.492568313 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83342965 0.81804935 0.97255611 0.63253613 0.11457422 0.64950877
#>   [7] 0.77141687 0.70801873 0.84107897 0.16445708 0.59774656 0.59774656
#>  [13] 0.62394089 0.28770660 0.13911386 0.03498862 0.41436716 0.61518959
#>  [19] 0.90855148 0.10080013 0.16445708 0.65793924 0.85626611 0.48630225
#>  [25] 0.85626611 0.28770660 0.79466117 0.34065049 0.31900646 0.90108581
#>  [31] 0.77141687 0.57075407 0.92334222 0.77141687 0.95850945 0.36191925
#>  [37] 0.92334222 0.05453136 0.70801873 0.87118591 0.69134860 0.67458358
#>  [43] 0.98634685 0.00536498 0.55251422 0.41436716 0.53432759 0.92334222
#>  [49] 0.92334222 0.25620023 0.89359964 0.73214321 0.36191925 0.21092147
#>  [55] 0.95144915 0.47569755 0.31900646 0.87866338 0.39335020 0.81028829
#>  [61] 0.73214321 0.79466117 0.23461134 0.25620023 0.27715882 0.69134860
#>  [67] 0.81804935 0.11457422 0.87866338 0.01861598 0.58867546 0.34065049
#>  [73] 0.75560687 0.41436716 0.67458358 0.56166445 0.57075407 0.96556518
#>  [79] 0.70801873 0.16445708 0.28770660 0.49690336 0.49690336 0.73214321
#>  [85] 0.13911386 0.41436716 0.98634685 0.45483345 0.76352635 0.65793924
#>  [91] 0.08619779 0.24569400 0.91596312 0.36191925 0.05453136 0.19861500
#>  [97] 0.22303168 0.53432759 0.39335020 0.45483345 0.84107897 0.49690336
#> [103] 0.63253613 0.49690336 0.97948195 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    49    42    70     5    92    79    57   125    43   194   106 106.1   192 
#> 12.19 12.43  7.38 16.43 22.92 16.23 14.46 15.65 12.10 22.40 16.67 16.67 16.44 
#>   166   113   168    97   181   145    69 194.1   188   107    51 107.1 166.1 
#> 19.98 22.86 23.72 19.14 16.46 10.07 23.23 22.40 16.16 11.18 18.23 11.18 19.98 
#>    81   170   105    61  57.1    45   187  57.2    16    55 187.1   164 125.1 
#> 14.06 19.54 19.75 10.12 14.46 17.42  9.92 14.46  8.71 19.34  9.92 23.60 15.65 
#>   159    26   100    91    24   110  97.1    40 187.2 187.3    68    93    29 
#> 10.55 15.77 16.07  5.33 23.89 17.56 19.14 18.00  9.92  9.92 20.62 10.33 15.45 
#>    58   136   183    88 105.1    10    76    60  29.1  81.1   139  68.1   128 
#> 19.34 21.83  9.24 18.37 19.75 10.53 19.22 13.15 15.45 14.06 21.49 20.62 20.35 
#>  26.1  42.1  92.1  10.1    78    23 170.1   180  97.2 100.1   117  45.1   149 
#> 15.77 12.43 22.92 10.53 23.88 16.92 19.54 14.82 19.14 16.07 17.46 17.42  8.37 
#> 125.2 194.2 166.2    41  41.1  29.2 113.1  97.3  91.1     8    96 188.1   129 
#> 15.65 22.40 19.98 18.02 18.02 15.45 22.86 19.14  5.33 18.43 14.54 16.16 23.41 
#>    32   101  55.1 164.1    66   197  40.1  76.1   8.1  43.1  41.2   5.1  41.3 
#> 20.90  9.97 19.34 23.60 22.13 21.60 18.00 19.22 18.43 12.10 18.02 16.43 18.02 
#>    25   146    35    64   174   182    46  64.1    28    67    74   200   185 
#>  6.32 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     9    83    54    20   116   119   176   141  83.1    48 174.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47    80 174.2   173   147  46.1    11   162    62  83.2   138    98    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  11.1    82   9.1 182.1 147.1   163  83.3   191     7    12    72  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.2  83.4 191.1 165.1    95   122   198 147.2    21  28.1 138.1    84  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196  21.1  64.2   148   135  80.1   172   112   7.1   131   178  72.1  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1  35.2 112.1 191.2 119.1  94.1  83.5   7.2   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004364105               0.412438438               0.231812402 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00520161              0.02046079              0.14473713 
#>   grade_iii, Cure model 
#>              0.51381271 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 110   17.56      1  65        0         1
#> 43    12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 197.1 21.60      1  69        1         0
#> 105   19.75      1  60        0         0
#> 45    17.42      1  54        0         1
#> 171   16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 100   16.07      1  60        0         0
#> 49    12.19      1  48        1         0
#> 6     15.64      1  39        0         0
#> 97    19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 61.1  10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 23    16.92      1  61        0         0
#> 169   22.41      1  46        0         0
#> 195   11.76      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 190   20.81      1  42        1         0
#> 101    9.97      1  10        0         1
#> 155   13.08      1  26        0         0
#> 180   14.82      1  37        0         0
#> 125   15.65      1  67        1         0
#> 50.1  10.02      1  NA        1         0
#> 61.2  10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 195.1 11.76      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 100.2 16.07      1  60        0         0
#> 10.1  10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 199   19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 177   12.53      1  75        0         0
#> 10.2  10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 91.1   5.33      1  61        0         1
#> 61.3  10.12      1  36        0         1
#> 125.1 15.65      1  67        1         0
#> 77     7.27      1  67        0         1
#> 77.1   7.27      1  67        0         1
#> 128.1 20.35      1  35        0         1
#> 175   21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 8     18.43      1  32        0         0
#> 86    23.81      1  58        0         1
#> 70.1   7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 55    19.34      1  69        0         1
#> 40    18.00      1  28        1         0
#> 99.1  21.19      1  38        0         1
#> 184   17.77      1  38        0         0
#> 16.1   8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 125.2 15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 23.1  16.92      1  61        0         0
#> 40.1  18.00      1  28        1         0
#> 171.1 16.57      1  41        0         1
#> 63    22.77      1  31        1         0
#> 149    8.37      1  33        1         0
#> 134   17.81      1  47        1         0
#> 51.2  18.23      1  83        0         1
#> 100.3 16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 136.1 21.83      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 29    15.45      1  68        1         0
#> 194   22.40      1  38        0         1
#> 41    18.02      1  40        1         0
#> 61.4  10.12      1  36        0         1
#> 86.1  23.81      1  58        0         1
#> 192.1 16.44      1  31        1         0
#> 107.1 11.18      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 86.2  23.81      1  58        0         1
#> 88    18.37      1  47        0         0
#> 6.1   15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 154.1 12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 2     24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 71    24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 38    24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 98    24.00      0  34        1         0
#> 104   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 94    24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 151   24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 98.1  24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 64    24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 161.1 24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 47.3  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 9.1   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 126.1 24.00      0  48        0         0
#> 71.1  24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 176   24.00      0  43        0         1
#> 33.1  24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 191.1 24.00      0  60        0         1
#> 143   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 87.1  24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 174.1 24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 182.1 24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 34.2  24.00      0  36        0         0
#> 34.3  24.00      0  36        0         0
#> 34.4  24.00      0  36        0         0
#> 27    24.00      0  63        1         0
#> 1.1   24.00      0  23        1         0
#> 9.2   24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 191.2 24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 53.2  24.00      0  32        0         1
#> 120.1 24.00      0  68        0         1
#> 173.1 24.00      0  19        0         1
#> 94.1  24.00      0  51        0         1
#> 173.2 24.00      0  19        0         1
#> 174.2 24.00      0  49        1         0
#> 162   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.01          NA        NA      NA
#> 2 age, Cure model           0.0205        NA        NA      NA
#> 3 grade_ii, Cure model      0.145         NA        NA      NA
#> 4 grade_iii, Cure model     0.514         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00436        NA        NA      NA
#> 2 grade_ii, Survival model   0.412          NA        NA      NA
#> 3 grade_iii, Survival model  0.232          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00520           0.02046           0.14474           0.51381  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 255.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00520161       0.02046079       0.14473713       0.51381271 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004364105      0.412438438      0.231812402 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.19274255 0.97121937 0.12337677 0.31746603 0.14346259 0.80750690
#>   [7] 0.44588267 0.75886597 0.51468211 0.93283521 0.67046155 0.00807558
#>  [13] 0.14346259 0.27842993 0.45571140 0.48518443 0.24016319 0.51468211
#>  [19] 0.70017848 0.17331052 0.98084015 0.16322758 0.90375875 0.26869056
#>  [25] 0.55332693 0.74906643 0.62118894 0.32741806 0.22118715 0.84636597
#>  [31] 0.68038902 0.84636597 0.79775106 0.46554095 0.09194233 0.00807558
#>  [37] 0.55332693 0.19274255 0.35745097 0.21163331 0.89403648 0.69027614
#>  [43] 0.65074317 0.59207040 0.84636597 0.77835546 0.35745097 0.55332693
#>  [49] 0.80750690 0.22118715 0.07100314 0.72943949 0.80750690 0.98084015
#>  [55] 0.84636597 0.59207040 0.95201591 0.95201591 0.24016319 0.11281099
#>  [61] 0.50478492 0.73923795 0.27842993 0.33738542 0.02629093 0.93283521
#>  [67] 0.54353833 0.29787633 0.39715850 0.17331052 0.43606489 0.90375875
#>  [73] 0.29787633 0.25901748 0.75886597 0.59207040 0.71004641 0.05025019
#>  [79] 0.46554095 0.39715850 0.48518443 0.08168570 0.92312984 0.41671620
#>  [85] 0.35745097 0.55332693 0.83656584 0.12337677 0.41671620 0.64085319
#>  [91] 0.10241242 0.38708719 0.84636597 0.02629093 0.51468211 0.77835546
#>  [97] 0.65074317 0.02629093 0.34739132 0.62118894 0.06054017 0.71004641
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    32    25   136    76   197    10   110    43   192    70    57    24 197.1 
#> 20.90  6.32 21.83 19.22 21.60 10.53 17.56 12.10 16.44  7.38 14.46 23.89 21.60 
#>   105    45   171   128    85   123    99    91   153    16   166   100    49 
#> 19.75 17.42 16.57 20.35 16.44 13.00 21.19  5.33 21.33  8.71 19.98 16.07 12.19 
#>     6    97    68    61    60  61.1   159    23   169  24.1 100.1  32.1    51 
#> 15.64 19.14 20.62 10.12 13.15 10.12 10.55 16.92 22.41 23.89 16.07 20.90 18.23 
#>   190   101   155   180   125  61.2   107  51.1 100.2  10.1  68.1   113   177 
#> 20.81  9.97 13.08 14.82 15.65 10.12 11.18 18.23 16.07 10.53 20.62 22.86 12.53 
#>  10.2  91.1  61.3 125.1    77  77.1 128.1   175   130    56 105.1     8    86 
#> 10.53  5.33 10.12 15.65  7.27  7.27 20.35 21.91 16.47 12.21 19.75 18.43 23.81 
#>  70.1   188    55    40  99.1   184  16.1    58   150  43.1 125.2   154   168 
#>  7.38 16.16 19.34 18.00 21.19 17.77  8.71 19.34 20.33 12.10 15.65 12.63 23.72 
#>  23.1  40.1 171.1    63   149   134  51.2 100.3    52 136.1 134.1    29   194 
#> 16.92 18.00 16.57 22.77  8.37 17.81 18.23 16.07 10.42 21.83 17.81 15.45 22.40 
#>    41  61.4  86.1 192.1 107.1 180.1  86.2    88   6.1   164 154.1     2    12 
#> 18.02 10.12 23.81 16.44 11.18 14.82 23.81 18.37 15.64 23.60 12.63 24.00 24.00 
#>   193    33   126    74    47   182   173    71  47.1   120   165   174    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1     1    98   104     7    95   186    19    94   161   151    35  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135  98.1   191    64   163   137   112    80    34   178     9   138    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1 186.1 165.1  47.3    53   9.1   119 126.1  71.1  34.1   176  33.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 191.1   143  35.1   2.1   109 137.1  87.1    84    28 174.1   103 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  34.2  34.3  34.4    27   1.1   9.2  53.1 191.2     3   156 143.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.2 120.1 173.1  94.1 173.2 174.2   162 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0003316884              0.6676939764             -0.0136376693 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.33454904              0.00243825              0.21885408 
#>   grade_iii, Cure model 
#>              0.96263559 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 190   20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 145   10.07      1  65        1         0
#> 168   23.72      1  70        0         0
#> 23    16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 90    20.94      1  50        0         1
#> 92    22.92      1  47        0         1
#> 136   21.83      1  43        0         1
#> 106   16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 107   11.18      1  54        1         0
#> 190.1 20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 184   17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 66    22.13      1  53        0         0
#> 181   16.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 60    13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 128   20.35      1  35        0         1
#> 58    19.34      1  39        0         0
#> 13    14.34      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 5     16.43      1  51        0         1
#> 40.1  18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 88    18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 117   17.46      1  26        0         1
#> 68    20.62      1  44        0         0
#> 106.1 16.67      1  49        1         0
#> 79    16.23      1  54        1         0
#> 180   14.82      1  37        0         0
#> 60.1  13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 76    19.22      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 180.1 14.82      1  37        0         0
#> 129   23.41      1  53        1         0
#> 92.1  22.92      1  47        0         1
#> 136.1 21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 128.1 20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 70     7.38      1  30        1         0
#> 183    9.24      1  67        1         0
#> 56    12.21      1  60        0         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 13.1  14.34      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 136.2 21.83      1  43        0         1
#> 58.1  19.34      1  39        0         0
#> 134   17.81      1  47        1         0
#> 183.1  9.24      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 60.2  13.15      1  38        1         0
#> 97    19.14      1  65        0         1
#> 45.1  17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 133.1 14.65      1  57        0         0
#> 29    15.45      1  68        1         0
#> 108   18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 145.1 10.07      1  65        1         0
#> 114   13.68      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 69.1  23.23      1  25        0         1
#> 181.1 16.46      1  45        0         1
#> 30.1  17.43      1  78        0         0
#> 101.1  9.97      1  10        0         1
#> 164   23.60      1  76        0         1
#> 108.1 18.29      1  39        0         1
#> 51.1  18.23      1  83        0         1
#> 195.1 11.76      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 195.2 11.76      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 49.1  12.19      1  48        1         0
#> 86.1  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 69.2  23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 61.1  10.12      1  36        0         1
#> 24.1  23.89      1  38        0         0
#> 192   16.44      1  31        1         0
#> 69.3  23.23      1  25        0         1
#> 6.1   15.64      1  39        0         0
#> 175.2 21.91      1  43        0         0
#> 101.2  9.97      1  10        0         1
#> 176   24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 118   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 71    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 47.1  24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 118.1 24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 31    24.00      0  36        0         1
#> 21.1  24.00      0  47        0         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 31.1  24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 162.1 24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 53    24.00      0  32        0         1
#> 102.2 24.00      0  49        0         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 38.1  24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 162.2 24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 118.2 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 7     24.00      0  37        1         0
#> 80.1  24.00      0  41        0         0
#> 21.2  24.00      0  47        0         0
#> 87.1  24.00      0  27        0         0
#> 137.1 24.00      0  45        1         0
#> 71.1  24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 135.1 24.00      0  58        1         0
#> 198   24.00      0  66        0         1
#> 151.1 24.00      0  42        0         0
#> 102.3 24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 80.2  24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 87.2  24.00      0  27        0         0
#> 84.2  24.00      0  39        0         1
#> 141   24.00      0  44        1         0
#> 28.2  24.00      0  67        1         0
#> 131.2 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.335          NA        NA      NA
#> 2 age, Cure model          0.00244        NA        NA      NA
#> 3 grade_ii, Cure model     0.219          NA        NA      NA
#> 4 grade_iii, Cure model    0.963          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000332        NA        NA      NA
#> 2 grade_ii, Survival model   0.668           NA        NA      NA
#> 3 grade_iii, Survival model -0.0136          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.334549          0.002438          0.218854          0.962636  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.33454904       0.00243825       0.21885408       0.96263559 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0003316884     0.6676939764    -0.0136376693 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31696556 0.01330574 0.92277433 0.06109032 0.58322355 0.71713123
#>   [7] 0.29659047 0.14248394 0.22154761 0.59253408 0.72568248 0.87509891
#>  [13] 0.31696556 0.68216730 0.50930203 0.46189767 0.17672302 0.62860063
#>  [19] 0.48130995 0.56475699 0.78529397 0.18844002 0.54630921 0.34596369
#>  [25] 0.36524163 0.76826418 0.29659047 0.75124612 0.67332521 0.65553875
#>  [31] 0.48130995 0.28624350 0.88305210 0.42316140 0.81826932 0.52787739
#>  [37] 0.33620047 0.59253408 0.66448644 0.73423530 0.78529397 0.10116077
#>  [43] 0.39382047 0.52787739 0.73423530 0.08893695 0.14248394 0.22154761
#>  [49] 0.96171202 0.34596369 0.61049467 0.42316140 0.98477078 0.96949292
#>  [55] 0.84288894 0.41337672 0.26594463 0.18844002 0.76826418 0.22154761
#>  [61] 0.36524163 0.50001936 0.96949292 0.84288894 0.85913262 0.25480103
#>  [67] 0.16501983 0.80996135 0.36524163 0.78529397 0.40359450 0.56475699
#>  [73] 0.99238441 0.93838456 0.89100610 0.61954562 0.75124612 0.70848530
#>  [79] 0.44251836 0.03663043 0.82649900 0.92277433 0.90692056 0.10116077
#>  [85] 0.62860063 0.54630921 0.93838456 0.07496075 0.44251836 0.46189767
#>  [91] 0.83473071 0.26594463 0.85913262 0.03663043 0.89896226 0.69974269
#>  [97] 0.10116077 0.51858683 0.90692056 0.01330574 0.64659474 0.10116077
#> [103] 0.68216730 0.18844002 0.93838456 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   190    24   145   168    23    18    90    92   136   106   157   107 190.1 
#> 20.81 23.89 10.07 23.72 16.92 15.21 20.94 22.92 21.83 16.67 15.10 11.18 20.81 
#>     6   184    51    66   181    40    45    60   175    30   128    58    13 
#> 15.64 17.77 18.23 22.13 16.46 18.00 17.42 13.15 21.91 17.43 20.35 19.34 14.34 
#>  90.1   133   188     5  40.1    36    10    88   154   117    68 106.1    79 
#> 20.94 14.65 16.16 16.43 18.00 21.19 10.53 18.37 12.63 17.46 20.62 16.67 16.23 
#>   180  60.1    69    76 117.1 180.1   129  92.1 136.1   187 128.1   171  88.1 
#> 14.82 13.15 23.23 19.22 17.46 14.82 23.41 22.92 21.83  9.92 20.35 16.57 18.37 
#>    70   183    56     8   153 175.1  13.1 136.2  58.1   134 183.1  56.1    49 
#>  7.38  9.24 12.21 18.43 21.33 21.91 14.34 21.83 19.34 17.81  9.24 12.21 12.19 
#>   139   194    14    55  60.2    97  45.1   127   101    52   130 133.1    29 
#> 21.49 22.40 12.89 19.34 13.15 19.14 17.42  3.53  9.97 10.42 16.47 14.65 15.45 
#>   108    86   177 145.1    61  69.1 181.1  30.1 101.1   164 108.1  51.1    37 
#> 18.29 23.81 12.53 10.07 10.12 23.23 16.46 17.43  9.97 23.60 18.29 18.23 12.52 
#> 153.1  49.1  86.1    93   167  69.2   110  61.1  24.1   192  69.3   6.1 175.2 
#> 21.33 12.19 23.81 10.33 15.55 23.23 17.56 10.12 23.89 16.44 23.23 15.64 21.91 
#> 101.2   176   131    47    95    67    54   109    72   118   146    48    12 
#>  9.97 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   102   132   193   116    71   120   138 131.1    22    98  47.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1 102.1    31  21.1   137   135   163  48.1   112   182   162    28    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    46   152   191  31.1    44    20  28.1    11 162.1    87    53 102.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    74   147  38.1   200     9  11.1  53.1 162.2 152.1    84  84.1 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   103    64     7  80.1  21.2  87.1 137.1  71.1   9.1  64.1 135.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 102.3   174  80.2    65  87.2  84.2   141  28.2 131.2     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003092245               0.816026568               0.303458661 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.23119872              0.02511740              0.03458585 
#>   grade_iii, Cure model 
#>              0.93710565 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 55    19.34      1  69        0         1
#> 127    3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 125   15.65      1  67        1         0
#> 45    17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 187.1  9.92      1  39        1         0
#> 101    9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 45.1  17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 192   16.44      1  31        1         0
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 15.1  22.68      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 77     7.27      1  67        0         1
#> 40    18.00      1  28        1         0
#> 134   17.81      1  47        1         0
#> 117   17.46      1  26        0         1
#> 181   16.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 190   20.81      1  42        1         0
#> 86    23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 108   18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 88    18.37      1  47        0         0
#> 15.2  22.68      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 175   21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 145   10.07      1  65        1         0
#> 159   10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 43    12.10      1  61        0         1
#> 36    21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 106   16.67      1  49        1         0
#> 61.1  10.12      1  36        0         1
#> 36.1  21.19      1  48        0         1
#> 52.1  10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 194   22.40      1  38        0         1
#> 90.1  20.94      1  50        0         1
#> 66.1  22.13      1  53        0         0
#> 61.2  10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 79.1  16.23      1  54        1         0
#> 18    15.21      1  49        1         0
#> 51.2  18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 130   16.47      1  53        0         1
#> 194.1 22.40      1  38        0         1
#> 183    9.24      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 59    10.16      1  NA        1         0
#> 194.2 22.40      1  38        0         1
#> 85    16.44      1  36        0         0
#> 167   15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 30.1  17.43      1  78        0         0
#> 59.1  10.16      1  NA        1         0
#> 51.3  18.23      1  83        0         1
#> 99.1  21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 23    16.92      1  61        0         0
#> 153   21.33      1  55        1         0
#> 124.1  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 107   11.18      1  54        1         0
#> 5.1   16.43      1  51        0         1
#> 26.1  15.77      1  49        0         1
#> 192.1 16.44      1  31        1         0
#> 179   18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 197   21.60      1  69        1         0
#> 56    12.21      1  60        0         0
#> 177.1 12.53      1  75        0         0
#> 149.1  8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 166   19.98      1  48        0         0
#> 99.2  21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 192.2 16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 60.1  13.15      1  38        1         0
#> 125.1 15.65      1  67        1         0
#> 184.1 17.77      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 124.2  9.73      1  NA        1         0
#> 155.2 13.08      1  26        0         0
#> 107.1 11.18      1  54        1         0
#> 179.2 18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 52.2  10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 53    24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 135   24.00      0  58        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 83    24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 20    24.00      0  46        1         0
#> 132.1 24.00      0  55        0         0
#> 71    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 112   24.00      0  61        0         0
#> 74    24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 87    24.00      0  27        0         0
#> 160.1 24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 174.1 24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 135.1 24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 2     24.00      0   9        0         0
#> 74.1  24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 53.2  24.00      0  32        0         1
#> 156   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 126   24.00      0  48        0         0
#> 53.3  24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 176.1 24.00      0  43        0         1
#> 156.1 24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 34.1  24.00      0  36        0         0
#> 83.1  24.00      0   6        0         0
#> 54    24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 73.1  24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 71.2  24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 132.2 24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 152.1 24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 161.1 24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 109.2 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 152.2 24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 38.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.23          NA        NA      NA
#> 2 age, Cure model           0.0251        NA        NA      NA
#> 3 grade_ii, Cure model      0.0346        NA        NA      NA
#> 4 grade_iii, Cure model     0.937         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00309        NA        NA      NA
#> 2 grade_ii, Survival model   0.816          NA        NA      NA
#> 3 grade_iii, Survival model  0.303          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.23120           0.02512           0.03459           0.93711  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 247.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.23119872       0.02511740       0.03458585       0.93710565 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003092245      0.816026568      0.303458661 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.68874243 0.40639341 0.32644521 0.99273210 0.86436007 0.94114998
#>   [7] 0.67227496 0.52193790 0.80152769 0.94114998 0.93352188 0.05421795
#>  [13] 0.40639341 0.52193790 0.26283082 0.90296068 0.58700799 0.63857860
#>  [19] 0.01223077 0.05421795 0.01223077 0.98545791 0.45546362 0.46514394
#>  [25] 0.49351181 0.57782754 0.80942131 0.29566694 0.03832746 0.13056036
#>  [31] 0.72148946 0.87214937 0.39617915 0.77785448 0.38591179 0.05421795
#>  [37] 0.32644521 0.15717549 0.50299622 0.92587420 0.85657777 0.65546230
#>  [43] 0.83313275 0.21050983 0.96355820 0.55031289 0.90296068 0.21050983
#>  [49] 0.87214937 0.28486270 0.44555720 0.09383397 0.26283082 0.13056036
#>  [55] 0.90296068 0.62127697 0.63857860 0.70524411 0.40639341 0.77785448
#>  [61] 0.72963196 0.56862098 0.09383397 0.95610186 0.30609549 0.09383397
#>  [67] 0.58700799 0.69703731 0.21050983 0.50299622 0.40639341 0.21050983
#>  [73] 0.89521532 0.76202862 0.54077967 0.19818582 0.73775423 0.84106134
#>  [79] 0.62127697 0.65546230 0.58700799 0.35602665 0.55031289 0.35602665
#>  [85] 0.47463552 0.18512504 0.82519496 0.80942131 0.96355820 0.74586345
#>  [91] 0.31624776 0.21050983 0.32644521 0.58700799 0.71336179 0.76202862
#>  [97] 0.67227496 0.47463552 0.74586345 0.77785448 0.84106134 0.35602665
#> [103] 0.97817829 0.87214937 0.17125588 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     6    51    55   127    10   187   125    45   123 187.1   101    15  51.1 
#> 15.64 18.23 19.34  3.53 10.53  9.92 15.65 17.42 13.00  9.92  9.97 22.68 18.23 
#>  45.1    90    61   192    79    78  15.1  78.1    77    40   134   117   181 
#> 17.42 20.94 10.12 16.44 16.23 23.88 22.68 23.88  7.27 18.00 17.81 17.46 16.46 
#>   177   190    86    66   133    52   108   155    88  15.2  55.1   175    30 
#> 12.53 20.81 23.81 22.13 14.65 10.42 18.29 13.08 18.37 22.68 19.34 21.91 17.43 
#>   145   159    26    43    36   149   106  61.1  36.1  52.1    32    41   194 
#> 10.07 10.55 15.77 12.10 21.19  8.37 16.67 10.12 21.19 10.42 20.90 18.02 22.40 
#>  90.1  66.1  61.2     5  79.1    18  51.2 155.1    96   130 194.1   183   158 
#> 20.94 22.13 10.12 16.43 16.23 15.21 18.23 13.08 14.54 16.47 22.40  9.24 20.14 
#> 194.2    85   167    99  30.1  51.3  99.1    93    60    23   153    13   107 
#> 22.40 16.44 15.55 21.19 17.43 18.23 21.19 10.33 13.15 16.92 21.33 14.34 11.18 
#>   5.1  26.1 192.1   179 106.1 179.1   184   197    56 177.1 149.1    81   166 
#> 16.43 15.77 16.44 18.63 16.67 18.63 17.77 21.60 12.21 12.53  8.37 14.06 19.98 
#>  99.2    58 192.2   180  60.1 125.1 184.1  81.1 155.2 107.1 179.2    70  52.2 
#> 21.19 19.34 16.44 14.82 13.15 15.65 17.77 14.06 13.08 11.18 18.63  7.38 10.42 
#>   136   103    34   132    53   162    72   135   152    28    83   144   182 
#> 21.83 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 132.1    71   172    22  71.1   185   174   112    74   191   160   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1    87 160.1    98  53.1 174.1    12   104   186 135.1   176   137   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  74.1    64   138   120  53.2   156   109   126  53.3    80 176.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    75    17 103.1     3 131.1  34.1  83.1    54   165    27  71.2 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1 132.2   141   3.1   161 186.1 152.1   173 173.1 161.1    38    48    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2    21  27.1 152.2 172.1   196 196.1  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006436871               0.600207192               0.634753687 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.15670491              0.01373777              0.61488883 
#>   grade_iii, Cure model 
#>              1.46519997 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 107   11.18      1  54        1         0
#> 86    23.81      1  58        0         1
#> 190   20.81      1  42        1         0
#> 43    12.10      1  61        0         1
#> 42    12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 140   12.68      1  59        1         0
#> 59    10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 199   19.81      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 89    11.44      1  NA        0         0
#> 43.1  12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 78    23.88      1  43        0         0
#> 93    10.33      1  52        0         1
#> 4.1   17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 24    23.89      1  38        0         0
#> 105   19.75      1  60        0         0
#> 168   23.72      1  70        0         0
#> 37    12.52      1  57        1         0
#> 105.1 19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 167   15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 77     7.27      1  67        0         1
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 45.1  17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 100   16.07      1  60        0         0
#> 26.2  15.77      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 128   20.35      1  35        0         1
#> 63.1  22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 32    20.90      1  37        1         0
#> 111.1 17.45      1  47        0         1
#> 4.2   17.64      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 170.1 19.54      1  43        0         1
#> 171.1 16.57      1  41        0         1
#> 89.1  11.44      1  NA        0         0
#> 25.1   6.32      1  34        1         0
#> 57.1  14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 190.1 20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 68    20.62      1  44        0         0
#> 183.1  9.24      1  67        1         0
#> 97.1  19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 6.1   15.64      1  39        0         0
#> 128.1 20.35      1  35        0         1
#> 123.1 13.00      1  44        1         0
#> 155   13.08      1  26        0         0
#> 183.2  9.24      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 171.2 16.57      1  41        0         1
#> 199.1 19.81      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 70     7.38      1  30        1         0
#> 43.2  12.10      1  61        0         1
#> 42.1  12.43      1  49        0         1
#> 158.1 20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 124.1  9.73      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 153.1 21.33      1  55        1         0
#> 145   10.07      1  65        1         0
#> 100.1 16.07      1  60        0         0
#> 16     8.71      1  71        0         1
#> 42.2  12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 133.1 14.65      1  57        0         0
#> 189.1 10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 183.3  9.24      1  67        1         0
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 95    24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 104.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 67.1  24.00      0  25        0         0
#> 46    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 120.1 24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 186   24.00      0  45        1         0
#> 104.2 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 186.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 3     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 34.1  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 20.1  24.00      0  46        1         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 28.1  24.00      0  67        1         0
#> 72    24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 11.1  24.00      0  42        0         1
#> 143.1 24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 35.2  24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 176   24.00      0  43        0         1
#> 67.2  24.00      0  25        0         0
#> 46.1  24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 74.2  24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 34.2  24.00      0  36        0         0
#> 95.1  24.00      0  68        0         1
#> 46.2  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 67.3  24.00      0  25        0         0
#> 20.2  24.00      0  46        1         0
#> 200.3 24.00      0  64        0         0
#> 198   24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.16          NA        NA      NA
#> 2 age, Cure model           0.0137        NA        NA      NA
#> 3 grade_ii, Cure model      0.615         NA        NA      NA
#> 4 grade_iii, Cure model     1.47          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00644        NA        NA      NA
#> 2 grade_ii, Survival model   0.600          NA        NA      NA
#> 3 grade_iii, Survival model  0.635          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.15670           0.01374           0.61489           1.46520  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 237.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.15670491       0.01373777       0.61488883       1.46519997 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006436871      0.600207192      0.634753687 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91035746 0.16291902 0.45076722 0.89506208 0.87385323 0.61855679
#>   [7] 0.86279915 0.88977119 0.59302926 0.72340827 0.29553957 0.69592936
#>  [13] 0.89506208 0.39908601 0.57500402 0.11083521 0.93536601 0.80515650
#>  [19] 0.94994339 0.68163759 0.75616177 0.35204238 0.94512136 0.54640491
#>  [25] 0.64343348 0.05065448 0.55609687 0.19649693 0.86835486 0.55609687
#>  [31] 0.41327738 0.38396232 0.79311762 0.78090723 0.99557326 0.63525142
#>  [37] 0.98215438 0.91543952 0.92047676 0.75616177 0.98666859 0.68163759
#>  [43] 0.51655921 0.70307684 0.33308652 0.66682704 0.74321098 0.75616177
#>  [49] 0.19649693 0.73015294 0.60188485 0.84597763 0.65911260 0.49559900
#>  [55] 0.29553957 0.27241313 0.43846029 0.66682704 0.77475040 0.82294513
#>  [61] 0.85718324 0.57500402 0.70307684 0.98666859 0.82294513 0.35204238
#>  [67] 0.64343348 0.52706985 0.45076722 0.81112630 0.47335674 0.94994339
#>  [73] 0.60188485 0.92550726 0.78090723 0.49559900 0.84597763 0.84024808
#>  [79] 0.94994339 0.92550726 0.70307684 0.47335674 0.97760031 0.89506208
#>  [85] 0.87385323 0.52706985 0.97302042 0.24879775 0.41327738 0.94026607
#>  [91] 0.74321098 0.96841334 0.87385323 0.83451141 0.79917103 0.73015294
#>  [97] 0.81112630 0.62692373 0.94994339 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   107    86   190    43    42     8   140    49    76   181    63    23  43.1 
#> 11.18 23.81 20.81 12.10 12.43 18.43 12.68 12.19 19.22 16.46 22.77 16.92 12.10 
#>   139   170    78    93   157   183    45    26   136   187   166   134    24 
#> 21.49 19.54 23.88 10.33 15.10  9.24 17.42 15.77 21.83  9.92 19.98 17.81 23.89 
#>   105   168    37 105.1   153   197   167     6    91    41    77   159    10 
#> 19.75 23.72 12.52 19.75 21.33 21.60 15.55 15.64  5.33 18.02  7.27 10.55 10.53 
#>  26.1    25  45.1   150   171   169   111   100  26.2 168.1   188    97   123 
#> 15.77  6.32 17.42 20.33 16.57 22.41 17.45 16.07 15.77 23.72 16.16 19.14 13.00 
#>   110   128  63.1   113    32 111.1   125    57    14 170.1 171.1  25.1  57.1 
#> 17.56 20.35 22.77 22.86 20.90 17.45 15.65 14.46 12.89 19.54 16.57  6.32 14.46 
#> 136.1 134.1   158 190.1   133    68 183.1  97.1    52   6.1 128.1 123.1   155 
#> 21.83 17.81 20.14 20.81 14.65 20.62  9.24 19.14 10.42 15.64 20.35 13.00 13.08 
#> 183.2  52.1 171.2  68.1    70  43.2  42.1 158.1   149    92 153.1   145 100.1 
#>  9.24 10.42 16.57 20.62  7.38 12.10 12.43 20.14  8.37 22.92 21.33 10.07 16.07 
#>    16  42.2    13    18 188.1 133.1    88 183.3    67    54    64   132    95 
#>  8.71 12.43 14.34 15.21 16.16 14.65 18.37  9.24 24.00 24.00 24.00 24.00 24.00 
#>   165   103    35   104    74    12 104.1    33    22    48   174  67.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    83    28    47   193   163    87   151 120.1   141    19   186 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    11   137    20  74.1    34 186.1   200    27   185     3     1  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   148   102  20.1   142 142.1   178  28.1    72 200.1   182   143  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  11.1 143.1   138     9    21  35.2  22.1   162  12.1   119   176  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1    82  74.2 119.1   126  34.2  95.1  46.2   160 200.2   196    98  67.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2 200.3   198 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006322386               0.242431082               0.125409850 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.181030463             0.009838417            -0.651155188 
#>   grade_iii, Cure model 
#>             0.400757375 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 23    16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 36    21.19      1  48        0         1
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 180   14.82      1  37        0         0
#> 159   10.55      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 85    16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 90    20.94      1  50        0         1
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 92    22.92      1  47        0         1
#> 168   23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 117   17.46      1  26        0         1
#> 59    10.16      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 110   17.56      1  65        0         1
#> 133.1 14.65      1  57        0         0
#> 5.1   16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 88.1  18.37      1  47        0         0
#> 133.2 14.65      1  57        0         0
#> 117.1 17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 181   16.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 18.1  15.21      1  49        1         0
#> 107   11.18      1  54        1         0
#> 171   16.57      1  41        0         1
#> 188   16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 91.1   5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 18.2  15.21      1  49        1         0
#> 5.2   16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 106   16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 43    12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 124    9.73      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 56.1  12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 180.1 14.82      1  37        0         0
#> 39    15.59      1  37        0         1
#> 56.2  12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 58.1  19.34      1  39        0         0
#> 5.3   16.43      1  51        0         1
#> 49    12.19      1  48        1         0
#> 6.1   15.64      1  39        0         0
#> 194   22.40      1  38        0         1
#> 14    12.89      1  21        0         0
#> 49.1  12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 81    14.06      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 134.1 17.81      1  47        1         0
#> 23.1  16.92      1  61        0         0
#> 96    14.54      1  33        0         1
#> 128.2 20.35      1  35        0         1
#> 30    17.43      1  78        0         0
#> 188.1 16.16      1  46        0         1
#> 133.3 14.65      1  57        0         0
#> 63.1  22.77      1  31        1         0
#> 6.2   15.64      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 175   21.91      1  43        0         0
#> 56.3  12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 110.1 17.56      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 97.1  19.14      1  65        0         1
#> 6.3   15.64      1  39        0         0
#> 88.2  18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 159.2 10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 41.1  18.02      1  40        1         0
#> 39.1  15.59      1  37        0         1
#> 60.1  13.15      1  38        1         0
#> 96.2  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 39.2  15.59      1  37        0         1
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 7     24.00      0  37        1         0
#> 198   24.00      0  66        0         1
#> 116   24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 20    24.00      0  46        1         0
#> 11    24.00      0  42        0         1
#> 62    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 185   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 72    24.00      0  40        0         1
#> 54    24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 7.2   24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 20.1  24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 7.3   24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 27.1  24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 151   24.00      0  42        0         0
#> 182.1 24.00      0  35        0         0
#> 147   24.00      0  76        1         0
#> 173.1 24.00      0  19        0         1
#> 22    24.00      0  52        1         0
#> 151.1 24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 152   24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 131.1 24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 67    24.00      0  25        0         0
#> 27.2  24.00      0  63        1         0
#> 141.1 24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 7.4   24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 54.1  24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 182.2 24.00      0  35        0         0
#> 174.2 24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 12    24.00      0  63        0         0
#> 27.3  24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 54.2  24.00      0  53        1         0
#> 109.1 24.00      0  48        0         0
#> 185.1 24.00      0  44        1         0
#> 182.3 24.00      0  35        0         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 135.1 24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 47.2  24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 120   24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 115.1 24.00      0  NA        1         0
#> 122   24.00      0  66        0         0
#> 198.2 24.00      0  66        0         1
#> 137   24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.181          NA        NA      NA
#> 2 age, Cure model          0.00984        NA        NA      NA
#> 3 grade_ii, Cure model    -0.651          NA        NA      NA
#> 4 grade_iii, Cure model    0.401          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00632        NA        NA      NA
#> 2 grade_ii, Survival model   0.242          NA        NA      NA
#> 3 grade_iii, Survival model  0.125          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.181030          0.009838         -0.651155          0.400757  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.181030463      0.009838417     -0.651155188      0.400757375 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006322386      0.242431082      0.125409850 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.46320191 0.52643866 0.84796571 0.24711355 0.64993864 0.81274128
#>   [7] 0.96171742 0.59428455 0.74823044 0.79841657 0.31869632 0.44413986
#>  [13] 0.73346337 0.92253177 0.92253177 0.56951528 0.86874313 0.26000731
#>  [19] 0.39414244 0.71130769 0.08424328 0.03133182 0.56951528 0.49974454
#>  [25] 0.96171742 0.48171905 0.74823044 0.59428455 0.10568374 0.12614587
#>  [31] 0.34089433 0.39414244 0.74823044 0.49974454 0.94873484 0.56100332
#>  [37] 0.28492191 0.98096431 0.71130769 0.91585950 0.55242541 0.62608787
#>  [43] 0.99365952 0.98096431 0.20638060 0.71130769 0.59428455 0.82683447
#>  [49] 0.54378457 0.36269599 0.64198564 0.90914846 0.05956210 0.28492191
#>  [55] 0.56951528 0.86874313 0.84095814 0.73346337 0.68075771 0.86874313
#>  [61] 0.15853792 0.38360614 0.43422873 0.34089433 0.59428455 0.89571000
#>  [67] 0.64993864 0.17505843 0.83390055 0.89571000 0.27255585 0.86182120
#>  [73] 0.80558656 0.84796571 0.46320191 0.52643866 0.77698574 0.28492191
#>  [79] 0.51755418 0.62608787 0.74823044 0.12614587 0.64993864 0.94873484
#>  [85] 0.19091968 0.86874313 0.42410600 0.22129721 0.48171905 0.77698574
#>  [91] 0.36269599 0.64993864 0.39414244 0.31869632 0.92253177 0.70366718
#>  [97] 0.44413986 0.68075771 0.81274128 0.77698574 0.97454039 0.94216937
#> [103] 0.22129721 0.68075771 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   134    23   154    36     6    60   145     5   133    13   105    41   180 
#> 17.81 16.92 12.63 21.19 15.64 13.15 10.07 16.43 14.65 14.34 19.75 18.02 14.82 
#>   159 159.1    85    56    90    88    18    92   168   192   117 145.1   110 
#> 10.55 10.55 16.44 12.21 20.94 18.37 15.21 22.92 23.72 16.44 17.46 10.07 17.56 
#> 133.1   5.1   113    63    58  88.1 133.2 117.1    93   181   128    91  18.1 
#> 14.65 16.43 22.86 22.77 19.34 18.37 14.65 17.46 10.33 16.46 20.35  5.33 15.21 
#>   107   171   188   127  91.1   136  18.2   5.2   155   106    97   100    43 
#> 11.18 16.57 16.16  3.53  5.33 21.83 15.21 16.43 13.08 16.67 19.14 16.07 12.10 
#>    69 128.1  85.1  56.1   140 180.1    39  56.2   169     8    51  58.1   5.3 
#> 23.23 20.35 16.44 12.21 12.68 14.82 15.59 12.21 22.41 18.43 18.23 19.34 16.43 
#>    49   6.1   194    14  49.1    68   177    81 154.1 134.1  23.1    96 128.2 
#> 12.19 15.64 22.40 12.89 12.19 20.62 12.53 14.06 12.63 17.81 16.92 14.54 20.35 
#>    30 188.1 133.3  63.1   6.2  93.1   175  56.3   108   139 110.1  96.1  97.1 
#> 17.43 16.16 14.65 22.77 15.64 10.33 21.91 12.21 18.29 21.49 17.56 14.54 19.14 
#>   6.3  88.2 105.1 159.2    29  41.1  39.1  60.1  96.2   101    52 139.1  39.2 
#> 15.64 18.37 19.75 10.55 15.45 18.02 15.59 13.15 14.54  9.97 10.42 21.49 15.59 
#>   173   176   196     7   198   116   7.1    20    11    62    82   185   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    54   119   7.2    47    33   165    95  47.1  20.1     3 198.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   7.3   131   182   156    27   141    80  27.1  72.1   109   151 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 173.1    22 151.1    31 196.1    74   144   152    44   142    38   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1  11.1    67  27.2 141.1 174.1   7.4    75  54.1   102 182.2 174.2   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  27.3   126    98  54.2 109.1 185.1 182.3    48   191 135.1  47.2   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1   120    21  21.1   122 198.2   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004820825               0.771351157               0.710949414 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.27853265              0.01952656              0.42134105 
#>   grade_iii, Cure model 
#>              1.02613756 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 32    20.90      1  37        1         0
#> 100   16.07      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 113   22.86      1  34        0         0
#> 170   19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 15    22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 158   20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 133   14.65      1  57        0         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 169.1 22.41      1  46        0         0
#> 88.1  18.37      1  47        0         0
#> 6     15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 16     8.71      1  71        0         1
#> 114   13.68      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 153   21.33      1  55        1         0
#> 171   16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 10    10.53      1  34        0         0
#> 177   12.53      1  75        0         0
#> 18    15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 181.1 16.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 167.1 15.55      1  56        1         0
#> 91     5.33      1  61        0         1
#> 195.2 11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 66    22.13      1  53        0         0
#> 127    3.53      1  62        0         1
#> 175.1 21.91      1  43        0         0
#> 177.1 12.53      1  75        0         0
#> 127.1  3.53      1  62        0         1
#> 114.1 13.68      1  NA        0         0
#> 114.2 13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 29    15.45      1  68        1         0
#> 133.1 14.65      1  57        0         0
#> 113.1 22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 181.2 16.46      1  45        0         1
#> 199.1 19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 13    14.34      1  54        0         1
#> 113.2 22.86      1  34        0         0
#> 39    15.59      1  37        0         1
#> 136   21.83      1  43        0         1
#> 99    21.19      1  38        0         1
#> 150   20.33      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 134.1 17.81      1  47        1         0
#> 13.1  14.34      1  54        0         1
#> 171.1 16.57      1  41        0         1
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 183    9.24      1  67        1         0
#> 127.2  3.53      1  62        0         1
#> 139.1 21.49      1  63        1         0
#> 42    12.43      1  49        0         1
#> 32.1  20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 188   16.16      1  46        0         1
#> 78    23.88      1  43        0         0
#> 181.3 16.46      1  45        0         1
#> 41.1  18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 78.1  23.88      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 197   21.60      1  69        1         0
#> 127.3  3.53      1  62        0         1
#> 40    18.00      1  28        1         0
#> 55.1  19.34      1  69        0         1
#> 52.1  10.42      1  52        0         1
#> 139.2 21.49      1  63        1         0
#> 145.1 10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 133.2 14.65      1  57        0         0
#> 190   20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 130.1 16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 40.1  18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 4.1   17.64      1  NA        0         1
#> 100.1 16.07      1  60        0         0
#> 182   24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 28    24.00      0  67        1         0
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 144   24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 146   24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 64.1  24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 104   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 172.1 24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 9.1   24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 22.1  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 172.2 24.00      0  41        0         0
#> 62.1  24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 62.2  24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 22.2  24.00      0  52        1         0
#> 53.1  24.00      0  32        0         1
#> 35.2  24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 144.2 24.00      0  28        0         1
#> 191.1 24.00      0  60        0         1
#> 19.1  24.00      0  57        0         1
#> 80.1  24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 196.1 24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 103.1 24.00      0  56        1         0
#> 98    24.00      0  34        1         0
#> 65.1  24.00      0  57        1         0
#> 156.1 24.00      0  50        1         0
#> 33.1  24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 122   24.00      0  66        0         0
#> 20.2  24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 191.2 24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 35.3  24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 146.1 24.00      0  63        1         0
#> 87.1  24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 162.1 24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 103.2 24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.28          NA        NA      NA
#> 2 age, Cure model           0.0195        NA        NA      NA
#> 3 grade_ii, Cure model      0.421         NA        NA      NA
#> 4 grade_iii, Cure model     1.03          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00482        NA        NA      NA
#> 2 grade_ii, Survival model   0.771          NA        NA      NA
#> 3 grade_iii, Survival model  0.711          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.27853           0.01953           0.42134           1.02614  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 248.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.27853265       0.01952656       0.42134105       1.02613756 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004820825      0.771351157      0.710949414 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59633464 0.28624740 0.75573322 0.79733308 0.94268920 0.96109675
#>   [7] 0.49647196 0.78570601 0.55988843 0.20381259 0.54994562 0.34673214
#>  [13] 0.68388483 0.76802034 0.26464774 0.95655195 0.53972474 0.87356482
#>  [19] 0.84183563 0.81451196 0.71825484 0.28624740 0.59633464 0.80308433
#>  [25] 0.96109675 0.95197375 0.76802034 0.46000007 0.70484972 0.73126454
#>  [31] 0.17972601 0.91885918 0.88900723 0.83102966 0.88390610 0.14933072
#>  [37] 0.42037714 0.65415597 0.73126454 0.68388483 0.47291148 0.81451196
#>  [43] 0.97444890 0.67658428 0.32638228 0.98316455 0.34673214 0.88900723
#>  [49] 0.98316455 0.66917923 0.82556036 0.84183563 0.20381259 0.62229318
#>  [55] 0.86831336 0.83643708 0.73126454 0.87876397 0.92373834 0.85783094
#>  [61] 0.20381259 0.80882708 0.38523278 0.47291148 0.52908273 0.97444890
#>  [67] 0.65415597 0.85783094 0.70484972 0.89912977 0.93330796 0.94735408
#>  [73] 0.98316455 0.42037714 0.90904616 0.49647196 0.61376418 0.77984159
#>  [79] 0.06624659 0.73126454 0.62229318 0.58748902 0.06624659 0.89912977
#>  [85] 0.40357460 0.98316455 0.63851765 0.55988843 0.92373834 0.42037714
#>  [91] 0.93330796 0.69791886 0.84183563 0.51838470 0.91397539 0.71825484
#>  [97] 0.57839910 0.63851765 0.97001241 0.76191649 0.78570601 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    88   169    85   125   187    77    32   100    55   113   170   175    45 
#> 18.37 22.41 16.44 15.65  9.92  7.27 20.90 16.07 19.34 22.86 19.54 21.91 17.42 
#>    79    15   149   158   123   133   167   130 169.1  88.1     6  77.1    16 
#> 16.23 22.68  8.37 20.14 13.00 14.65 15.55 16.47 22.41 18.37 15.64  7.27  8.71 
#>  79.1   153   171   181    92    10   177    18   154   164   139   134 181.1 
#> 16.23 21.33 16.57 16.46 22.92 10.53 12.53 15.21 12.63 23.60 21.49 17.81 16.46 
#>  45.1    36 167.1    91   117    66   127 175.1 177.1 127.1   110    29 133.1 
#> 17.42 21.19 15.55  5.33 17.46 22.13  3.53 21.91 12.53  3.53 17.56 15.45 14.65 
#> 113.1    41    81   157 181.2   140    52    13 113.2    39   136    99   150 
#> 22.86 18.02 14.06 15.10 16.46 12.68 10.42 14.34 22.86 15.59 21.83 21.19 20.33 
#>  91.1 134.1  13.1 171.1    37   145   183 127.2 139.1    42  32.1    51   188 
#>  5.33 17.81 14.34 16.57 12.52 10.07  9.24  3.53 21.49 12.43 20.90 18.23 16.16 
#>    78 181.3  41.1    97  78.1  37.1   197 127.3    40  55.1  52.1 139.2 145.1 
#> 23.88 16.46 18.02 19.14 23.88 12.52 21.60  3.53 18.00 19.34 10.42 21.49 10.07 
#>   106 133.2   190    49 130.1    76  40.1    25     5 100.1   182    82   200 
#> 16.67 14.65 20.81 12.19 16.47 19.22 18.00  6.32 16.43 16.07 24.00 24.00 24.00 
#>   196    28    20   172    62     9    54    87   144   141    64   146    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1  64.1    80    53   119    31   151    38   132   104    84  20.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 172.1   178   9.1 144.1    11   162    65    22    95    19  22.1  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 172.2  62.1    34  62.2     3  35.1    46  22.2  53.1  35.2   103 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1  19.1  80.1   116 196.1   176  38.1  64.2 103.1    98  65.1 156.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122  20.2    71 191.2   126  35.3   138   161 146.1  87.1   148 162.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1  71.1    17    72 103.2    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0001833177              0.5219377063              0.2969726711 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.89071460              0.01346406              0.42733228 
#>   grade_iii, Cure model 
#>              1.00615034 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 55    19.34      1  69        0         1
#> 194   22.40      1  38        0         1
#> 134   17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 188   16.16      1  46        0         1
#> 128   20.35      1  35        0         1
#> 90    20.94      1  50        0         1
#> 10    10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 70.1   7.38      1  30        1         0
#> 179   18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 129   23.41      1  53        1         0
#> 159   10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 86    23.81      1  58        0         1
#> 49.1  12.19      1  48        1         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 86.1  23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 13    14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 93    10.33      1  52        0         1
#> 105.1 19.75      1  60        0         0
#> 14    12.89      1  21        0         0
#> 134.1 17.81      1  47        1         0
#> 190.1 20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 166   19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 136   21.83      1  43        0         1
#> 96    14.54      1  33        0         1
#> 60.1  13.15      1  38        1         0
#> 194.1 22.40      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 113.1 22.86      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 108   18.29      1  39        0         1
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 69    23.23      1  25        0         1
#> 99    21.19      1  38        0         1
#> 157.2 15.10      1  47        0         0
#> 37    12.52      1  57        1         0
#> 30    17.43      1  78        0         0
#> 57    14.46      1  45        0         1
#> 41.1  18.02      1  40        1         0
#> 194.2 22.40      1  38        0         1
#> 16     8.71      1  71        0         1
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 41.2  18.02      1  40        1         0
#> 166.1 19.98      1  48        0         0
#> 149.1  8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 97    19.14      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 16.1   8.71      1  71        0         1
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 58    19.34      1  39        0         0
#> 124.1  9.73      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 79    16.23      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 81    14.06      1  34        0         0
#> 55.1  19.34      1  69        0         1
#> 57.1  14.46      1  45        0         1
#> 197.1 21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 164   23.60      1  76        0         1
#> 166.2 19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 190.2 20.81      1  42        1         0
#> 8.1   18.43      1  32        0         0
#> 57.2  14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 194.3 22.40      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 6     15.64      1  39        0         0
#> 124.2  9.73      1  NA        1         0
#> 197.2 21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 52.1  10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 47    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 2     24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 148.1 24.00      0  61        1         0
#> 72.1  24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 160.2 24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 152.1 24.00      0  36        0         1
#> 46.1  24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 22    24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 22.1  24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 95    24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 109.2 24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 173.1 24.00      0  19        0         1
#> 193   24.00      0  45        0         1
#> 71.1  24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 84.1  24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 118.1 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 67.2  24.00      0  25        0         0
#> 20.1  24.00      0  46        1         0
#> 73    24.00      0  NA        0         1
#> 73.1  24.00      0  NA        0         1
#> 161.2 24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 104.1 24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 11.1  24.00      0  42        0         1
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 196.1 24.00      0  19        0         0
#> 151.1 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.891         NA        NA      NA
#> 2 age, Cure model           0.0135        NA        NA      NA
#> 3 grade_ii, Cure model      0.427         NA        NA      NA
#> 4 grade_iii, Cure model     1.01          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000183        NA        NA      NA
#> 2 grade_ii, Survival model   0.522           NA        NA      NA
#> 3 grade_iii, Survival model  0.297           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.89071           0.01346           0.42733           1.00615  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.89071460       0.01346406       0.42733228       1.00615034 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0001833177     0.5219377063     0.2969726711 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.68546731 0.68546731 0.81075389 0.93667652 0.67741142 0.45161392
#>   [7] 0.48828374 0.22008796 0.58561439 0.90040161 0.55994235 0.61947179
#>  [13] 0.63627012 0.38672468 0.33872386 0.87093484 0.95091353 0.95091353
#>  [19] 0.52405051 0.34894188 0.12380086 0.86351674 0.83371232 0.03529057
#>  [25] 0.41490235 0.84870201 0.01289224 0.05840152 0.83371232 0.40543483
#>  [31] 0.31839475 0.08980197 0.05840152 0.77217546 0.15367099 0.74871541
#>  [37] 0.18164484 0.89304536 0.45161392 0.79532113 0.58561439 0.34894188
#>  [43] 0.60252273 0.42422887 0.78758031 0.26475564 0.70935931 0.77217546
#>  [49] 0.22008796 0.74871541 0.99302788 0.15367099 0.38672468 0.55096968
#>  [55] 0.53307328 0.30783303 0.13900728 0.31839475 0.68546731 0.81844653
#>  [61] 0.61099642 0.72525688 0.55994235 0.22008796 0.92229191 0.82609120
#>  [67] 0.97903478 0.55994235 0.42422887 0.93667652 0.27652978 0.51502894
#>  [73] 0.70935931 0.98603954 0.92229191 0.91503402 0.90773767 0.66929080
#>  [79] 0.48828374 0.96500789 0.62790852 0.84870201 0.76432826 0.48828374
#>  [85] 0.72525688 0.27652978 0.47006863 0.47006863 0.10723814 0.42422887
#>  [91] 0.80306224 0.87835333 0.34894188 0.53307328 0.72525688 0.66110419
#>  [97] 0.22008796 0.18164484 0.65284929 0.27652978 0.20699273 0.96500789
#> [103] 0.37709469 0.87835333 0.64459514 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   157 157.1   177   149    18   105    55   194   134    61    41   181   188 
#> 15.10 15.10 12.53  8.37 15.21 19.75 19.34 22.40 17.81 10.12 18.02 16.46 16.16 
#>   128    90    10    70  70.1   179   190   129   159    49    78   158   107 
#> 20.35 20.94 10.53  7.38  7.38 18.63 20.81 23.41 10.55 12.19 23.88 20.14 11.18 
#>    24    86  49.1   150    36   168  86.1    60   113    13    63    93 105.1 
#> 23.89 23.81 12.19 20.33 21.19 23.72 23.81 13.15 22.86 14.34 22.77 10.33 19.75 
#>    14 134.1 190.1   117   166   155   136    96  60.1 194.1  13.1   127 113.1 
#> 12.89 17.81 20.81 17.46 19.98 13.08 21.83 14.54 13.15 22.40 14.34  3.53 22.86 
#> 128.1   108     8   153    69    99 157.2    37    30    57  41.1 194.2    16 
#> 20.35 18.29 18.43 21.33 23.23 21.19 15.10 12.52 17.43 14.46 18.02 22.40  8.71 
#>    42    25  41.2 166.1 149.1   197    97  96.1    91  16.1   183   187    29 
#> 12.43  6.32 18.02 19.98  8.37 21.60 19.14 14.54  5.33  8.71  9.24  9.92 15.45 
#>    58    77    79 107.1    81  55.1  57.1 197.1   170 170.1   164 166.2   140 
#> 19.34  7.27 16.23 11.18 14.06 19.34 14.46 21.60 19.54 19.54 23.60 19.98 12.68 
#>    52 190.2   8.1  57.2   167 194.3  63.1     6 197.2    15  77.1    68  52.1 
#> 10.42 20.81 18.43 14.46 15.55 22.40 22.77 15.64 21.60 22.68  7.27 20.62 10.42 
#>   125    47    65    83   138   182    74    67   152   163   172    12    11 
#> 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   160    64   173   147    72   148 160.1    46    44   109   121 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   161   131 161.1     2    27   151 148.1  72.1   104   185   119 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62 182.1    75   176    98   118  67.1 185.1 152.1  46.1   112  65.1   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    53  22.1    84    95   196 109.2    71   146     1   137 173.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 176.1    82  84.1    54    20 118.1  95.1  67.2  20.1 161.2   122   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 182.2 104.1   191  11.1    21   200 196.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01678303                0.67116796                0.42937718 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.84283121              0.01091593              0.63919646 
#>   grade_iii, Cure model 
#>              1.00481079 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 140   12.68      1  59        1         0
#> 170   19.54      1  43        0         1
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 101    9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 167   15.55      1  56        1         0
#> 134   17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 123   13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 30    17.43      1  78        0         0
#> 159.1 10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 58.1  19.34      1  39        0         0
#> 139   21.49      1  63        1         0
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 149    8.37      1  33        1         0
#> 192.1 16.44      1  31        1         0
#> 99    21.19      1  38        0         1
#> 192.2 16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 59    10.16      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 105   19.75      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 77     7.27      1  67        0         1
#> 61.1  10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 92.1  22.92      1  47        0         1
#> 192.3 16.44      1  31        1         0
#> 101.1  9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 153.1 21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 154   12.63      1  20        1         0
#> 113   22.86      1  34        0         0
#> 192.4 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 139.1 21.49      1  63        1         0
#> 133   14.65      1  57        0         0
#> 150.1 20.33      1  48        0         0
#> 61.2  10.12      1  36        0         1
#> 32    20.90      1  37        1         0
#> 66.1  22.13      1  53        0         0
#> 99.1  21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 58.2  19.34      1  39        0         0
#> 10    10.53      1  34        0         0
#> 189.1 10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 4.1   17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 13.1  14.34      1  54        0         1
#> 85    16.44      1  36        0         0
#> 85.1  16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 57.1  14.46      1  45        0         1
#> 189.2 10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 168.1 23.72      1  70        0         0
#> 128   20.35      1  35        0         1
#> 69    23.23      1  25        0         1
#> 13.2  14.34      1  54        0         1
#> 187    9.92      1  39        1         0
#> 42    12.43      1  49        0         1
#> 134.1 17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 86    23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 133.1 14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 77.1   7.27      1  67        0         1
#> 92.2  22.92      1  47        0         1
#> 61.3  10.12      1  36        0         1
#> 154.1 12.63      1  20        1         0
#> 190   20.81      1  42        1         0
#> 159.2 10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 96    14.54      1  33        0         1
#> 134.2 17.81      1  47        1         0
#> 99.2  21.19      1  38        0         1
#> 37.1  12.52      1  57        1         0
#> 167.1 15.55      1  56        1         0
#> 77.2   7.27      1  67        0         1
#> 184.1 17.77      1  38        0         0
#> 26.1  15.77      1  49        0         1
#> 124    9.73      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 25     6.32      1  34        1         0
#> 110   17.56      1  65        0         1
#> 8.2   18.43      1  32        0         0
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 196   24.00      0  19        0         0
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 11.2  24.00      0  42        0         1
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 19.1  24.00      0  57        0         1
#> 156.1 24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 34    24.00      0  36        0         0
#> 186   24.00      0  45        1         0
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 47.1  24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 7.1   24.00      0  37        1         0
#> 165   24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 12.1  24.00      0  63        0         0
#> 65.1  24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 160.1 24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 12.2  24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 160.2 24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 152.1 24.00      0  36        0         1
#> 165.1 24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 67.2  24.00      0  25        0         0
#> 12.3  24.00      0  63        0         0
#> 193.1 24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 109.1 24.00      0  48        0         0
#> 132.1 24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 109.2 24.00      0  48        0         0
#> 152.2 24.00      0  36        0         1
#> 151.1 24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 119.2 24.00      0  17        0         0
#> 12.4  24.00      0  63        0         0
#> 64    24.00      0  43        0         0
#> 120.1 24.00      0  68        0         1
#> 9.1   24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 163.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.843         NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model      0.639         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0168        NA        NA      NA
#> 2 grade_ii, Survival model    0.671         NA        NA      NA
#> 3 grade_iii, Survival model   0.429         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.84283           0.01092           0.63920           1.00481  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.84283121       0.01091593       0.63919646       1.00481079 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01678303       0.67116796       0.42937718 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1393934584 0.3660693497 0.7519001098 0.9205918231 0.6514523149
#>   [6] 0.1630030355 0.1793627747 0.7391193525 0.8682088395 0.3115104613
#>  [11] 0.1793627747 0.0758363429 0.2135091180 0.4832293618 0.2812389896
#>  [16] 0.2227610520 0.0001190401 0.6263255261 0.0338988666 0.5061375862
#>  [21] 0.3436274654 0.7519001098 0.0390330031 0.1793627747 0.0628332646
#>  [26] 0.0564103700 0.8033270557 0.5773600950 0.9074670976 0.3660693497
#>  [31] 0.0893604078 0.3660693497 0.2607848917 0.0061970422 0.0502579345
#>  [36] 0.2322027870 0.1548212174 0.1630030355 0.9336824818 0.8033270557
#>  [41] 0.0177746426 0.0177746426 0.3660693497 0.8682088395 0.4493138738
#>  [46] 0.8549340334 0.7264368682 0.4717658775 0.0758363429 0.5533746149
#>  [51] 0.6641193316 0.0291520447 0.3660693497 0.2708925479 0.0628332646
#>  [56] 0.5177616739 0.1393934584 0.8033270557 0.1171251302 0.0390330031
#>  [61] 0.0893604078 0.6138151170 0.1793627747 0.7902408148 0.9865734055
#>  [66] 0.0019459436 0.5773600950 0.3660693497 0.3660693497 0.6888395739
#>  [71] 0.5533746149 0.1097086904 0.0019459436 0.1319248521 0.0138162610
#>  [76] 0.5773600950 0.8943187025 0.7137821764 0.2812389896 0.6388522248
#>  [81] 0.0007897283 0.4381280897 0.5177616739 0.0098547951 0.9336824818
#>  [86] 0.0177746426 0.8033270557 0.6641193316 0.1245176379 0.7519001098
#>  [91] 0.3548234977 0.5413950995 0.2812389896 0.0893604078 0.6888395739
#>  [96] 0.4832293618 0.9336824818 0.3115104613 0.4493138738 0.2322027870
#> [101] 0.9732281960 0.3326915256 0.2322027870 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   150   192   159    70   140   170    55    43   101   184    58   153    76 
#> 20.33 16.44 10.55  7.38 12.68 19.54 19.34 12.10  9.97 17.77 19.34 21.33 19.22 
#>   167   134    97    24   123   169    18    30 159.1    66  58.1   139   197 
#> 15.55 17.81 19.14 23.89 13.00 22.41 15.21 17.43 10.55 22.13 19.34 21.49 21.60 
#>    61    13   149 192.1    99 192.2    88   164   136     8   105 170.1    77 
#> 10.12 14.34  8.37 16.44 21.19 16.44 18.37 23.60 21.83 18.43 19.75 19.54  7.27 
#>  61.1    92  92.1 192.3 101.1    26   145    49   125 153.1    57   154   113 
#> 10.12 22.92 22.92 16.44  9.97 15.77 10.07 12.19 15.65 21.33 14.46 12.63 22.86 
#> 192.4    51 139.1   133 150.1  61.2    32  66.1  99.1    81  58.2    10    91 
#> 16.44 18.23 21.49 14.65 20.33 10.12 20.90 22.13 21.19 14.06 19.34 10.53  5.33 
#>   168  13.1    85  85.1    37  57.1    90 168.1   128    69  13.2   187    42 
#> 23.72 14.34 16.44 16.44 12.52 14.46 20.94 23.72 20.35 23.23 14.34  9.92 12.43 
#> 134.1    14    86   188 133.1   129  77.1  92.2  61.3 154.1   190 159.2   106 
#> 17.81 12.89 23.81 16.16 14.65 23.41  7.27 22.92 10.12 12.63 20.81 10.55 16.67 
#>    96 134.2  99.2  37.1 167.1  77.2 184.1  26.1   8.1    25   110   8.2    62 
#> 14.54 17.81 21.19 12.52 15.55  7.27 17.77 15.77 18.43  6.32 17.56 18.43 24.00 
#>    12   141    65    22    11   173   196   160  11.1    19    38    67    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132     7  11.2   156    46   163    72  19.1 156.1   131   172    44    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   126    47    35    84  47.1  67.1    83   7.1   165   178  12.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    94   151 160.1   102  12.2   143   152   193    98   174 160.2    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 152.1 165.1   119  67.2  12.3 193.1   109 186.1    48     9   185 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    71 102.1 109.1 132.1   116 109.2 152.2 151.1    21 119.2  12.4    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   9.1  47.2 163.1    20    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001096246               0.363419540               0.486119277 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05971072              0.01500402              0.65589390 
#>   grade_iii, Cure model 
#>              1.23008760 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 81    14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 168   23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 77     7.27      1  67        0         1
#> 91     5.33      1  61        0         1
#> 8     18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 105   19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 5     16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 140   12.68      1  59        1         0
#> 159.1 10.55      1  50        0         1
#> 14    12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 164   23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 24    23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 4.1   17.64      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 170.1 19.54      1  43        0         1
#> 77.1   7.27      1  67        0         1
#> 183.1  9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 124    9.73      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 99    21.19      1  38        0         1
#> 30    17.43      1  78        0         0
#> 42    12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 187.1  9.92      1  39        1         0
#> 155.1 13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 79.1  16.23      1  54        1         0
#> 85    16.44      1  36        0         0
#> 99.1  21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 199   19.81      1  NA        0         1
#> 39.1  15.59      1  37        0         1
#> 170.2 19.54      1  43        0         1
#> 68.1  20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 150   20.33      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 39.2  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 183.2  9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 179.1 18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 105.1 19.75      1  60        0         0
#> 199.1 19.81      1  NA        0         1
#> 159.2 10.55      1  50        0         1
#> 183.3  9.24      1  67        1         0
#> 129.1 23.41      1  53        1         0
#> 24.1  23.89      1  38        0         0
#> 195.1 11.76      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 199.2 19.81      1  NA        0         1
#> 179.2 18.63      1  42        0         0
#> 199.3 19.81      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 187.2  9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 8.1   18.43      1  32        0         0
#> 180.1 14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 145.1 10.07      1  65        1         0
#> 139.1 21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 199.4 19.81      1  NA        0         1
#> 139.2 21.49      1  63        1         0
#> 68.2  20.62      1  44        0         0
#> 36.1  21.19      1  48        0         1
#> 8.2   18.43      1  32        0         0
#> 43    12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 159.3 10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 26.1  15.77      1  49        0         1
#> 130.1 16.47      1  53        0         1
#> 153.1 21.33      1  55        1         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 143.1 24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 196   24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 44    24.00      0  56        0         0
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 198   24.00      0  66        0         1
#> 135   24.00      0  58        1         0
#> 196.1 24.00      0  19        0         0
#> 2.1   24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 87.1  24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 73    24.00      0  NA        0         1
#> 104.1 24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 34.1  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 142.1 24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 34.2  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 196.2 24.00      0  19        0         0
#> 119   24.00      0  17        0         0
#> 53    24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 12.1  24.00      0  63        0         0
#> 137.1 24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 98    24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 119.1 24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 80    24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 182.1 24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 165.1 24.00      0  47        0         0
#> 182.2 24.00      0  35        0         0
#> 46.1  24.00      0  71        0         0
#> 20.1  24.00      0  46        1         0
#> 87.2  24.00      0  27        0         0
#> 112.1 24.00      0  61        0         0
#> 20.2  24.00      0  46        1         0
#> 2.2   24.00      0   9        0         0
#> 27.1  24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 165.2 24.00      0  47        0         0
#> 47.1  24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 46.2  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.656         NA        NA      NA
#> 4 grade_iii, Cure model     1.23          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00110        NA        NA      NA
#> 2 grade_ii, Survival model   0.363          NA        NA      NA
#> 3 grade_iii, Survival model  0.486          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.0597            0.0150            0.6559            1.2301  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 242.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05971072       0.01500402       0.65589390       1.23008760 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001096246      0.363419540      0.486119277 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.65044944 0.74409908 0.31764355 0.04738329 0.73565130 0.38873691
#>   [7] 0.96173503 0.98474389 0.45582798 0.49412238 0.81966352 0.87584642
#>  [13] 0.85170131 0.52307791 0.71859702 0.36844423 0.61520246 0.79460535
#>  [19] 0.11258494 0.58818685 0.56994570 0.12753952 0.78621328 0.81966352
#>  [25] 0.77778991 0.75255037 0.19802684 0.06734452 0.67595280 0.91529874
#>  [31] 0.99238717 0.56069855 0.54219098 0.01670541 0.72715155 0.42726207
#>  [37] 0.70160200 0.59730267 0.69306068 0.62414685 0.89176494 0.38873691
#>  [43] 0.96173503 0.91529874 0.97706960 0.29672371 0.25628901 0.50379618
#>  [49] 0.80300442 0.68452464 0.89176494 0.75255037 0.23311196 0.59730267
#>  [55] 0.56994570 0.25628901 0.95397346 0.65044944 0.38873691 0.31764355
#>  [61] 0.85982912 0.35819081 0.85982912 0.25628901 0.65044944 0.41754978
#>  [67] 0.51348524 0.91529874 0.34795242 0.42726207 0.08479252 0.94618737
#>  [73] 0.15679626 0.36844423 0.81966352 0.91529874 0.08479252 0.01670541
#>  [79] 0.18471036 0.42726207 0.64163825 0.89176494 0.14258647 0.45582798
#>  [85] 0.70160200 0.17106645 0.87584642 0.19802684 0.30725011 0.19802684
#>  [91] 0.31764355 0.25628901 0.45582798 0.81135624 0.81966352 0.48445631
#>  [97] 0.53268197 0.76936862 0.62414685 0.54219098 0.23311196 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    39    81    68   168    13   170    77    91     8   184   159   145    10 
#> 15.59 14.06 20.62 23.72 14.34 19.54  7.27  5.33 18.43 17.77 10.55 10.07 10.53 
#>    23   133   105   188   177   113     5   192    15   140 159.1    14   155 
#> 16.92 14.65 19.75 16.16 12.53 22.86 16.43 16.44 22.68 12.68 10.55 12.89 13.08 
#>   139   164   167   183   127   181   130    24    57   179   180    79   157 
#> 21.49 23.60 15.55  9.24  3.53 16.46 16.47 23.89 14.46 18.63 14.82 16.23 15.10 
#>    26   187 170.1  77.1 183.1    25    32    99    30    42    29 187.1 155.1 
#> 15.77  9.92 19.54  7.27  9.24  6.32 20.90 21.19 17.43 12.43 15.45  9.92 13.08 
#>   153  79.1    85  99.1   149  39.1 170.2  68.1    52   150  52.1    36  39.2 
#> 21.33 16.23 16.44 21.19  8.37 15.59 19.54 20.62 10.42 20.33 10.42 21.19 15.59 
#>    76    45 183.2   128 179.1   129    16   175 105.1 159.2 183.3 129.1  24.1 
#> 19.22 17.42  9.24 20.35 18.63 23.41  8.71 21.91 19.75 10.55  9.24 23.41 23.89 
#>   197 179.2     6 187.2   194   8.1 180.1   136 145.1 139.1   190 139.2  68.2 
#> 21.60 18.63 15.64  9.92 22.40 18.43 14.82 21.83 10.07 21.49 20.81 21.49 20.62 
#>  36.1   8.2    43 159.3   134   171   123  26.1 130.1 153.1    75    17   143 
#> 21.19 18.43 12.10 10.55 17.81 16.57 13.00 15.77 16.47 21.33 24.00 24.00 24.00 
#>    27    67   173 143.1   116   196    33   142    11    44   104   109    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176     3   163    46   182     2    95    83   120    87   198   135 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1   165  87.1   148  83.1   103    34 104.1   151  34.1   178 142.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    12    21    47   174   137    82  34.2   122 196.2   119    53   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1 137.1    72    98    84   112   144 119.1    80 122.1 109.1 120.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 182.1    54 165.1 182.2  46.1  20.1  87.2 112.1  20.2   2.2  27.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2  47.1   102    28  46.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002120078               0.592366446               0.220113425 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.9750510               0.0349456               0.2951727 
#>   grade_iii, Cure model 
#>               1.1149551 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 70     7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 108   18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 66.1  22.13      1  53        0         0
#> 69    23.23      1  25        0         1
#> 136   21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 99    21.19      1  38        0         1
#> 77     7.27      1  67        0         1
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 107   11.18      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 194   22.40      1  38        0         1
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 169   22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 169.1 22.41      1  46        0         0
#> 90.1  20.94      1  50        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 136.1 21.83      1  43        0         1
#> 100   16.07      1  60        0         0
#> 42    12.43      1  49        0         1
#> 181   16.46      1  45        0         1
#> 129   23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 166   19.98      1  48        0         0
#> 39    15.59      1  37        0         1
#> 55.1  19.34      1  69        0         1
#> 78    23.88      1  43        0         0
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 167   15.55      1  56        1         0
#> 60    13.15      1  38        1         0
#> 180   14.82      1  37        0         0
#> 59    10.16      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 175.1 21.91      1  43        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 136.2 21.83      1  43        0         1
#> 181.1 16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 139   21.49      1  63        1         0
#> 128.1 20.35      1  35        0         1
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 158   20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 175.2 21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 117   17.46      1  26        0         1
#> 150.1 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 164   23.60      1  76        0         1
#> 30    17.43      1  78        0         0
#> 56.1  12.21      1  60        0         0
#> 32    20.90      1  37        1         0
#> 77.1   7.27      1  67        0         1
#> 197.1 21.60      1  69        1         0
#> 199.2 19.81      1  NA        0         1
#> 100.1 16.07      1  60        0         0
#> 101    9.97      1  10        0         1
#> 60.1  13.15      1  38        1         0
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 5     16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 180.1 14.82      1  37        0         0
#> 159.1 10.55      1  50        0         1
#> 197.2 21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 13    14.34      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 15.1  22.68      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 133.1 14.65      1  57        0         0
#> 86.1  23.81      1  58        0         1
#> 55.2  19.34      1  69        0         1
#> 100.2 16.07      1  60        0         0
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 194.1 22.40      1  38        0         1
#> 167.1 15.55      1  56        1         0
#> 39.1  15.59      1  37        0         1
#> 168.1 23.72      1  70        0         0
#> 56.2  12.21      1  60        0         0
#> 61    10.12      1  36        0         1
#> 110   17.56      1  65        0         1
#> 86.2  23.81      1  58        0         1
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 200   24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 71    24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 72.1  24.00      0  40        0         1
#> 72.2  24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 22    24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 141.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 144.1 24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 17    24.00      0  38        0         1
#> 72.3  24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 160.1 24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 71.2  24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 198.1 24.00      0  66        0         1
#> 196.1 24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 67.2  24.00      0  25        0         0
#> 160.2 24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 102.1 24.00      0  49        0         0
#> 34    24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 144.2 24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 191   24.00      0  60        0         1
#> 196.2 24.00      0  19        0         0
#> 53.1  24.00      0  32        0         1
#> 191.1 24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 122   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 112.1 24.00      0  61        0         0
#> 34.1  24.00      0  36        0         0
#> 116.1 24.00      0  58        0         1
#> 19.1  24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 72.4  24.00      0  40        0         1
#> 33.2  24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 103.1 24.00      0  56        1         0
#> 65    24.00      0  57        1         0
#> 112.2 24.00      0  61        0         0
#> 118.1 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 104.3 24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.98          NA        NA      NA
#> 2 age, Cure model           0.0349        NA        NA      NA
#> 3 grade_ii, Cure model      0.295         NA        NA      NA
#> 4 grade_iii, Cure model     1.11          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00212        NA        NA      NA
#> 2 grade_ii, Survival model   0.592          NA        NA      NA
#> 3 grade_iii, Survival model  0.220          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.97505           0.03495           0.29517           1.11496  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 248.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.9750510        0.0349456        0.2951727        1.1149551 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002120078      0.592366446      0.220113425 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.371805909 0.968565158 0.483236286 0.798132386 0.208933238 0.822949586
#>   [7] 0.133381115 0.510267657 0.582519273 0.208933238 0.109913786 0.262547264
#>  [13] 0.936823971 0.352849009 0.976449055 0.781508985 0.144377358 0.464964258
#>  [19] 0.880356642 0.798132386 0.187571266 0.060605374 0.121719358 0.165841837
#>  [25] 0.230531653 0.165841837 0.371805909 0.427890631 0.409432662 0.262547264
#>  [31] 0.635597048 0.814655917 0.600351546 0.097874523 0.573506589 0.464964258
#>  [37] 0.455686043 0.661698597 0.483236286 0.009952829 0.029764155 0.739108155
#>  [43] 0.352849009 0.721982122 0.679145817 0.756291105 0.704902223 0.230531653
#>  [49] 0.591444983 0.773111822 0.262547264 0.600351546 0.880356642 0.546510229
#>  [55] 0.343167231 0.294039687 0.912612820 0.323747872 0.409432662 0.847669109
#>  [61] 0.847669109 0.446426077 0.960636289 0.230531653 0.626818354 0.400029968
#>  [67] 0.537501964 0.427890631 0.896502262 0.564511056 0.084851953 0.555499528
#>  [73] 0.822949586 0.390646925 0.976449055 0.294039687 0.635597048 0.928767512
#>  [79] 0.756291105 0.789852749 0.992132718 0.617963687 0.864027561 0.323747872
#>  [85] 0.704902223 0.896502262 0.294039687 0.944834634 0.747705129 0.864027561
#>  [91] 0.144377358 0.944834634 0.721982122 0.029764155 0.483236286 0.635597048
#>  [97] 0.519417847 0.696325691 0.187571266 0.679145817 0.661698597 0.060605374
#> [103] 0.822949586 0.920695645 0.528466540 0.029764155 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>    90    70    55   177    66    56    63   108   106  66.1    69   136   187 
#> 20.94  7.38 19.34 12.53 22.13 12.21 22.77 18.29 16.67 22.13 23.23 21.83  9.92 
#>    99    77   140    15   170   107 177.1   194   168    92   169   175 169.1 
#> 21.19  7.27 12.68 22.68 19.54 11.18 12.53 22.40 23.72 22.92 22.41 21.91 22.41 
#>  90.1   150   128 136.1   100    42   181   129    23 170.1   166    39  55.1 
#> 20.94 20.33 20.35 21.83 16.07 12.43 16.46 23.41 16.92 19.54 19.98 15.59 19.34 
#>    78    86    96    36   133   167    60   180 175.1   171   123 136.2 181.1 
#> 23.88 23.81 14.54 21.19 14.65 15.55 13.15 14.82 21.91 16.57 13.00 21.83 16.46 
#> 107.1   111   153   197    93   139 128.1    49  49.1   158    16 175.2    79 
#> 11.18 17.45 21.33 21.60 10.33 21.49 20.35 12.19 12.19 20.14  8.71 21.91 16.23 
#>    68   117 150.1   159    45   164    30  56.1    32  77.1 197.1 100.1   101 
#> 20.62 17.46 20.33 10.55 17.42 23.60 17.43 12.21 20.90  7.27 21.60 16.07  9.97 
#>  60.1   154   127     5    43 139.1 180.1 159.1 197.2   183    13  43.1  15.1 
#> 13.15 12.63  3.53 16.43 12.10 21.49 14.82 10.55 21.60  9.24 14.34 12.10 22.68 
#> 183.1 133.1  86.1  55.2 100.2   134    18 194.1 167.1  39.1 168.1  56.2    61 
#>  9.24 14.65 23.81 19.34 16.07 17.81 15.21 22.40 15.55 15.59 23.72 12.21 10.12 
#>   110  86.2     1   172    33    64   200    83   141   151   146   137   144 
#> 17.56 23.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   160    12    71  71.1    72    53  72.1  72.2   196   131 151.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    22    27 141.1    21  67.1   132 144.1    98    17  72.3   178   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   198   112 160.1   116  71.2 137.1   103 198.1 196.1   174  67.2 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    54   118    44 102.1    34   152 144.2     9    87   191 196.2  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1     3    84   122    74 112.1  34.1 116.1  19.1   161   185  35.1  72.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2 122.1     2 103.1    65 112.2 118.1    62 104.1 104.2 104.3   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005877339               0.854017965               0.574524949 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -2.22728127              0.04155772              0.18547972 
#>   grade_iii, Cure model 
#>              1.02793519 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 194   22.40      1  38        0         1
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 154   12.63      1  20        1         0
#> 113   22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 197   21.60      1  69        1         0
#> 18.1  15.21      1  49        1         0
#> 43    12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 168.1 23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 10    10.53      1  34        0         0
#> 168.2 23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 194.2 22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 189.1 10.51      1  NA        1         0
#> 18.2  15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 89.1  11.44      1  NA        0         0
#> 111.1 17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 76    19.22      1  54        0         1
#> 16     8.71      1  71        0         1
#> 197.1 21.60      1  69        1         0
#> 111.2 17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 23    16.92      1  61        0         0
#> 91     5.33      1  61        0         1
#> 197.2 21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 5     16.43      1  51        0         1
#> 8     18.43      1  32        0         0
#> 90    20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 197.3 21.60      1  69        1         0
#> 136.1 21.83      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 36.1  21.19      1  48        0         1
#> 59    10.16      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 50    10.02      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 89.2  11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 194.3 22.40      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 37.1  12.52      1  57        1         0
#> 105   19.75      1  60        0         0
#> 37.2  12.52      1  57        1         0
#> 43.1  12.10      1  61        0         1
#> 42.1  12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 56.1  12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 49    12.19      1  48        1         0
#> 57    14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 42.2  12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 10.1  10.53      1  34        0         0
#> 58    19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 140   12.68      1  59        1         0
#> 50.1  10.02      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 13.1  14.34      1  54        0         1
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 105.1 19.75      1  60        0         0
#> 15    22.68      1  48        0         0
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 181.1 16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 56.2  12.21      1  60        0         0
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 136.2 21.83      1  43        0         1
#> 105.2 19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 66    22.13      1  53        0         0
#> 145.1 10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 136.3 21.83      1  43        0         1
#> 14    12.89      1  21        0         0
#> 168.3 23.72      1  70        0         0
#> 105.3 19.75      1  60        0         0
#> 73    24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 121.1 24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 34.1  24.00      0  36        0         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 172   24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 72.2  24.00      0  40        0         1
#> 146.1 24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 82    24.00      0  34        0         0
#> 87    24.00      0  27        0         0
#> 21.1  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 160   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 21.2  24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 115.1 24.00      0  NA        1         0
#> 121.2 24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 103.1 24.00      0  56        1         0
#> 144.1 24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 109.1 24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 103.2 24.00      0  56        1         0
#> 141   24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 121.3 24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 143.1 24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 176.2 24.00      0  43        0         1
#> 7.1   24.00      0  37        1         0
#> 144.2 24.00      0  28        0         1
#> 152   24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 82.1  24.00      0  34        0         0
#> 147   24.00      0  76        1         0
#> 152.1 24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 176.3 24.00      0  43        0         1
#> 109.2 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 82.2  24.00      0  34        0         0
#> 53    24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 103.3 24.00      0  56        1         0
#> 118.1 24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 72.3  24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -2.23          NA        NA      NA
#> 2 age, Cure model           0.0416        NA        NA      NA
#> 3 grade_ii, Cure model      0.185         NA        NA      NA
#> 4 grade_iii, Cure model     1.03          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00588        NA        NA      NA
#> 2 grade_ii, Survival model   0.854          NA        NA      NA
#> 3 grade_iii, Survival model  0.575          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -2.22728           0.04156           0.18548           1.02794  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 239.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -2.22728127       0.04155772       0.18547972       1.02793519 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005877339      0.854017965      0.574524949 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.819071717 0.131610173 0.931067932 0.023865591 0.641127977 0.693595936
#>   [7] 0.762389289 0.076665997 0.482327557 0.954311482 0.194617959 0.795033113
#>  [13] 0.240511117 0.641127977 0.851423473 0.462845806 0.023865591 0.548505236
#>  [19] 0.131610173 0.323477759 0.977321886 0.883474667 0.023865591 0.006585747
#>  [25] 0.131610173 0.728384033 0.472607986 0.641127977 0.675947240 0.482327557
#>  [31] 0.984893553 0.432877432 0.962007439 0.240511117 0.482327557 0.292659593
#>  [37] 0.393107496 0.529424856 0.992453706 0.240511117 0.567572709 0.622906541
#>  [43] 0.770750975 0.586206883 0.442871280 0.313163486 0.907420113 0.240511117
#>  [49] 0.194617959 0.529424856 0.292659593 0.667135054 0.604655663 0.343646239
#>  [55] 0.632055023 0.131610173 0.604655663 0.770750975 0.353615138 0.770750975
#>  [61] 0.851423473 0.795033113 0.899429145 0.969692927 0.819071717 0.097023359
#>  [67] 0.843321855 0.684792253 0.519901517 0.795033113 0.281962674 0.883474667
#>  [73] 0.412987409 0.558063471 0.745557787 0.586206883 0.693595936 0.452903951
#>  [79] 0.875487333 0.412987409 0.353615138 0.113992527 0.719719903 0.915380410
#>  [85] 0.567572709 0.333524517 0.745557787 0.710963126 0.819071717 0.946579082
#>  [91] 0.931067932 0.194617959 0.353615138 0.867476320 0.393107496 0.180596466
#>  [97] 0.915380410 0.510326754 0.194617959 0.736965101 0.023865591 0.353615138
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    56   194   101   168    18    13   154   113   111   183   136    42   197 
#> 12.21 22.40  9.97 23.72 15.21 14.34 12.63 22.86 17.45  9.24 21.83 12.43 21.60 
#>  18.1    43    41 168.1   171 194.1   190    70    10 168.2    78 194.2   123 
#> 15.21 12.10 18.02 23.72 16.57 22.40 20.81  7.38 10.53 23.72 23.88 22.40 13.00 
#>   110  18.2   133 111.1    77    76    16 197.1 111.2    36   170    23    91 
#> 17.56 15.21 14.65 17.45  7.27 19.22  8.71 21.60 17.45 21.19 19.54 16.92  5.33 
#> 197.2   181    26    37     5     8    90    61 197.3 136.1  23.1  36.1   157 
#> 21.60 16.46 15.77 12.52 16.43 18.43 20.94 10.12 21.60 21.83 16.92 21.19 15.10 
#>   188   158    29 194.3 188.1  37.1   105  37.2  43.1  42.1    93   149  56.1 
#> 16.16 20.14 15.45 22.40 16.16 12.52 19.75 12.52 12.10 12.43 10.33  8.37 12.21 
#>    63    49    57    45  42.2   153  10.1    58   130   140   5.1  13.1   108 
#> 22.77 12.19 14.46 17.42 12.43 21.33 10.53 19.34 16.47 12.68 16.43 14.34 18.29 
#>   159    55 105.1    15    60   145 181.1   150 140.1    81  56.2   187 101.1 
#> 10.55 19.34 19.75 22.68 13.15 10.07 16.46 20.33 12.68 14.06 12.21  9.92  9.97 
#> 136.2 105.2   107 170.1    66 145.1    30 136.3    14 168.3 105.3    19   135 
#> 21.83 19.75 11.18 19.54 22.13 10.07 17.43 21.83 12.89 23.72 19.75 24.00 24.00 
#>   178   118    35   146    17    34    72   176   112   198   121 121.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   161    67  34.1   116    11   172   143  72.1    21   126  72.2 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    82    87  21.1   151   160   109     2    74   165  21.2    48    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 121.2   144   103     9 112.1 103.1 144.1    47 109.1     7    80 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 165.1 121.3  47.1   131    83 143.1 176.1    71   182 176.2   7.1 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152  98.1    28  82.1   147 152.1  48.1 176.3 109.2    31  82.2    53    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.3 118.1 126.1  72.3   193 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02262888                0.34087737                0.18093176 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.055121587             0.007282421            -0.748318346 
#>   grade_iii, Cure model 
#>             0.159473462 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 153   21.33      1  55        1         0
#> 8     18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 57    14.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 86    23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 56    12.21      1  60        0         0
#> 85    16.44      1  36        0         0
#> 13    14.34      1  54        0         1
#> 171   16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 18    15.21      1  49        1         0
#> 184   17.77      1  38        0         0
#> 181   16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 175   21.91      1  43        0         0
#> 10    10.53      1  34        0         0
#> 107   11.18      1  54        1         0
#> 81    14.06      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 96    14.54      1  33        0         1
#> 168.2 23.72      1  70        0         0
#> 107.1 11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 81.1  14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 4     17.64      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 180.1 14.82      1  37        0         0
#> 81.2  14.06      1  34        0         0
#> 129   23.41      1  53        1         0
#> 23    16.92      1  61        0         0
#> 8.1   18.43      1  32        0         0
#> 114.1 13.68      1  NA        0         0
#> 5.1   16.43      1  51        0         1
#> 18.1  15.21      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 30    17.43      1  78        0         0
#> 96.1  14.54      1  33        0         1
#> 171.1 16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 57.1  14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 188.2 16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 171.2 16.57      1  41        0         1
#> 168.3 23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 140   12.68      1  59        1         0
#> 149    8.37      1  33        1         0
#> 177   12.53      1  75        0         0
#> 180.2 14.82      1  37        0         0
#> 188.3 16.16      1  46        0         1
#> 79.1  16.23      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 66    22.13      1  53        0         0
#> 15    22.68      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 150.1 20.33      1  48        0         0
#> 153.1 21.33      1  55        1         0
#> 45    17.42      1  54        0         1
#> 153.2 21.33      1  55        1         0
#> 139   21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 188.4 16.16      1  46        0         1
#> 85.2  16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 155   13.08      1  26        0         0
#> 92    22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 117.2 17.46      1  26        0         1
#> 6.1   15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 164.1 23.60      1  76        0         1
#> 125   15.65      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 188.5 16.16      1  46        0         1
#> 16     8.71      1  71        0         1
#> 167.1 15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 174   24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 21    24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 151   24.00      0  42        0         0
#> 22.1  24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 118.1 24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 137.1 24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 9.1   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 21.2  24.00      0  47        0         0
#> 19.1  24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 186.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 3.1   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 120.2 24.00      0  68        0         1
#> 174.1 24.00      0  49        1         0
#> 48    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 22.2  24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 174.2 24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 141   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 34    24.00      0  36        0         0
#> 19.2  24.00      0  57        0         1
#> 142.1 24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 28.1  24.00      0  67        1         0
#> 116   24.00      0  58        0         1
#> 118.2 24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 176.2 24.00      0  43        0         1
#> 48.1  24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 173.1 24.00      0  19        0         1
#> 147.1 24.00      0  76        1         0
#> 131.1 24.00      0  66        0         0
#> 176.3 24.00      0  43        0         1
#> 17.1  24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0551         NA        NA      NA
#> 2 age, Cure model          0.00728        NA        NA      NA
#> 3 grade_ii, Cure model    -0.748          NA        NA      NA
#> 4 grade_iii, Cure model    0.159          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0226        NA        NA      NA
#> 2 grade_ii, Survival model    0.341         NA        NA      NA
#> 3 grade_iii, Survival model   0.181         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.055122          0.007282         -0.748318          0.159473  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 254.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.055121587      0.007282421     -0.748318346      0.159473462 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02262888       0.34087737       0.18093176 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.488465e-03 9.773208e-01 4.307613e-02 1.199663e-02 5.130999e-02
#>   [6] 3.561906e-02 3.572171e-01 2.438111e-01 5.319896e-01 7.154874e-05
#>  [11] 7.579300e-02 2.786151e-03 2.919034e-02 3.316545e-01 1.100338e-05
#>  [16] 6.695792e-01 9.332025e-01 4.548137e-01 7.258512e-01 1.783728e-01
#>  [21] 5.647601e-01 1.314333e-01 3.074459e-01 4.256295e-01 8.133768e-02
#>  [26] 1.617313e-01 8.470425e-01 2.237839e-01 3.074459e-01 1.043837e-01
#>  [31] 7.154874e-05 5.728643e-03 8.055524e-01 7.453722e-01 5.817132e-01
#>  [36] 1.783728e-01 5.003255e-01 7.154874e-05 7.453722e-01 6.334642e-01
#>  [41] 7.851060e-01 5.817132e-01 2.047545e-01 1.822849e-02 9.332025e-01
#>  [46] 6.028780e-02 8.710936e-02 3.837457e-01 4.548137e-01 5.817132e-01
#>  [51] 1.409255e-03 1.242421e-01 5.130999e-02 2.047545e-01 4.256295e-01
#>  [56] 2.438111e-01 1.107094e-01 5.003255e-01 1.314333e-01 1.035914e-06
#>  [61] 4.307613e-02 5.319896e-01 5.946947e-04 2.438111e-01 7.034523e-03
#>  [66] 1.314333e-01 7.154874e-05 8.680711e-01 6.520713e-02 1.536686e-01
#>  [71] 6.879880e-01 9.112426e-01 7.067125e-01 4.548137e-01 2.438111e-01
#>  [76] 2.237839e-01 8.710936e-02 4.585272e-03 3.611804e-03 2.919034e-02
#>  [81] 1.199663e-02 1.173496e-01 1.199663e-02 1.014233e-02 2.623644e-02
#>  [86] 2.438111e-01 1.783728e-01 2.076415e-02 2.342733e-02 6.514104e-01
#>  [91] 2.029455e-03 8.055524e-01 8.710936e-02 3.572171e-01 3.974802e-01
#>  [96] 5.946947e-04 3.442718e-01 1.617313e-01 7.044954e-02 1.100338e-05
#> [101] 2.438111e-01 8.894579e-01 3.974802e-01 3.921926e-02 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   197   127   179   153     8   166     6   188    57   168   134    63   150 
#> 21.60  3.53 18.63 21.33 18.43 19.98 15.64 16.16 14.46 23.72 17.81 22.77 20.33 
#>    26    86   123    25   180    56    85    13   171   100    18   184   181 
#> 15.77 23.81 13.00  6.32 14.82 12.21 16.44 14.34 16.57 16.07 15.21 17.77 16.46 
#>   101    79 100.1   111 168.1   175    10   107    81  85.1    96 168.2 107.1 
#>  9.97 16.23 16.07 17.45 23.72 21.91 10.53 11.18 14.06 16.44 14.54 23.72 11.18 
#>    60   159  81.1     5    99  25.1    88   117    39 180.1  81.2   129    23 
#> 13.15 10.55 14.06 16.43 21.19  6.32 18.37 17.46 15.59 14.82 14.06 23.41 16.92 
#>   8.1   5.1  18.1 188.1    30  96.1 171.1    24 179.1  57.1   164 188.2   136 
#> 18.43 16.43 15.21 16.16 17.43 14.54 16.57 23.89 18.63 14.46 23.60 16.16 21.83 
#> 171.2 168.3   183    51   130   140   149   177 180.2 188.3  79.1 117.1    66 
#> 16.57 23.72  9.24 18.23 16.47 12.68  8.37 12.53 14.82 16.16 16.23 17.46 22.13 
#>    15 150.1 153.1    45 153.2   139   128 188.4  85.2    32   190   155    92 
#> 22.68 20.33 21.33 17.42 21.33 21.49 20.35 16.16 16.44 20.90 20.81 13.08 22.92 
#>  10.1 117.2   6.1   167 164.1   125 181.1    40  86.1 188.5    16 167.1    97 
#> 10.53 17.46 15.64 15.55 23.60 15.65 16.46 18.00 23.81 16.16  8.71 15.55 19.14 
#>   174    22   152    28    21   131   120   173    19     3   196   103   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1     9   118    67   137 118.1 120.1   104    12   191 137.1   186  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  67.1    71   156   143    82    98   9.1   185  21.2  19.1   132 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    54   3.1   176    44   144    46    38 120.2 174.1    48    27   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17  27.1    95   102  22.2  54.1 174.2   142   138    65 144.1   147   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  19.2 142.1  12.1 176.1    83  28.1   116 118.2 138.1 176.2  48.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1 147.1 131.1 176.3  17.1  83.1    31  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007398091               0.377438624               0.239873323 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91890437              0.01681006              0.30927561 
#>   grade_iii, Cure model 
#>              0.52697447 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 88    18.37      1  47        0         0
#> 23    16.92      1  61        0         0
#> 181   16.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 125   15.65      1  67        1         0
#> 55    19.34      1  69        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 42    12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 127    3.53      1  62        0         1
#> 129   23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 45    17.42      1  54        0         1
#> 29.1  15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 52    10.42      1  52        0         1
#> 181.1 16.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 58    19.34      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 190   20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 52.1  10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 56.1  12.21      1  60        0         0
#> 57.2  14.46      1  45        0         1
#> 130.1 16.47      1  53        0         1
#> 88.1  18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 110   17.56      1  65        0         1
#> 166   19.98      1  48        0         0
#> 60    13.15      1  38        1         0
#> 167.1 15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 92    22.92      1  47        0         1
#> 167.2 15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 37.1  12.52      1  57        1         0
#> 125.1 15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 175   21.91      1  43        0         0
#> 179.1 18.63      1  42        0         0
#> 199   19.81      1  NA        0         1
#> 125.2 15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 140   12.68      1  59        1         0
#> 49    12.19      1  48        1         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 91     5.33      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 23.2  16.92      1  61        0         0
#> 86    23.81      1  58        0         1
#> 59    10.16      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 105.1 19.75      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 36.1  21.19      1  48        0         1
#> 159.1 10.55      1  50        0         1
#> 30    17.43      1  78        0         0
#> 36.2  21.19      1  48        0         1
#> 77.1   7.27      1  67        0         1
#> 101    9.97      1  10        0         1
#> 60.1  13.15      1  38        1         0
#> 133   14.65      1  57        0         0
#> 4     17.64      1  NA        0         1
#> 52.2  10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 66.1  22.13      1  53        0         0
#> 192.1 16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 106   16.67      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 14.1  12.89      1  21        0         0
#> 13.1  14.34      1  54        0         1
#> 85    16.44      1  36        0         0
#> 61.1  10.12      1  36        0         1
#> 32    20.90      1  37        1         0
#> 6     15.64      1  39        0         0
#> 190.1 20.81      1  42        1         0
#> 128.1 20.35      1  35        0         1
#> 15.1  22.68      1  48        0         0
#> 16     8.71      1  71        0         1
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 53.1  24.00      0  32        0         1
#> 200.1 24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 31    24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 142   24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 165   24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 54.1  24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 148.1 24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 198.1 24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 73    24.00      0  NA        0         1
#> 198.2 24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 54.2  24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 72    24.00      0  40        0         1
#> 65    24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 200.2 24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 34.1  24.00      0  36        0         0
#> 196.1 24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 31.1  24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 62.1  24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 84.1  24.00      0  39        0         1
#> 102.1 24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 193.1 24.00      0  45        0         1
#> 196.2 24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 196.3 24.00      0  19        0         0
#> 34.2  24.00      0  36        0         0
#> 95.1  24.00      0  68        0         1
#> 84.2  24.00      0  39        0         1
#> 48    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 35.2  24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 7.1   24.00      0  37        1         0
#> 103   24.00      0  56        1         0
#> 152.1 24.00      0  36        0         1
#> 198.3 24.00      0  66        0         1
#> 112.1 24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 173.2 24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 53.2  24.00      0  32        0         1
#> 95.2  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.919         NA        NA      NA
#> 2 age, Cure model           0.0168        NA        NA      NA
#> 3 grade_ii, Cure model      0.309         NA        NA      NA
#> 4 grade_iii, Cure model     0.527         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00740        NA        NA      NA
#> 2 grade_ii, Survival model   0.377          NA        NA      NA
#> 3 grade_iii, Survival model  0.240          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91890           0.01681           0.30928           0.52697  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 256.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91890437       0.01681006       0.30927561       0.52697447 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007398091      0.377438624      0.239873323 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.832697995 0.124758338 0.210364145 0.286175825 0.366139908 0.810674132
#>   [7] 0.519798359 0.447569650 0.166056128 0.256993888 0.551340998 0.766602892
#>  [13] 0.149110965 0.551340998 0.701303745 0.988684964 0.007754095 0.583237390
#>  [19] 0.276362981 0.519798359 0.192404848 0.865945313 0.366139908 0.061741782
#>  [25] 0.166056128 0.345905634 0.625789902 0.100916702 0.593982685 0.488821445
#>  [31] 0.865945313 0.647286988 0.116518340 0.777577489 0.593982685 0.777577489
#>  [37] 0.593982685 0.345905634 0.210364145 0.540759802 0.238208709 0.140735376
#>  [43] 0.658166808 0.488821445 0.019465961 0.712193606 0.031655999 0.437166104
#>  [49] 0.810674132 0.013460729 0.488821445 0.744846501 0.679675371 0.744846501
#>  [55] 0.447569650 0.325837409 0.045647092 0.192404848 0.447569650 0.286175825
#>  [61] 0.854793144 0.932615008 0.053647959 0.183434941 0.733901652 0.799593007
#>  [67] 0.416505657 0.069971368 0.977395321 0.325837409 0.426791063 0.286175825
#>  [73] 0.002316180 0.954995459 0.149110965 0.238208709 0.069971368 0.832697995
#>  [79] 0.266601305 0.069971368 0.954995459 0.921428794 0.658166808 0.572492943
#>  [85] 0.865945313 0.386474283 0.031655999 0.386474283 0.228786038 0.899143650
#>  [91] 0.315683104 0.679675371 0.712193606 0.625789902 0.386474283 0.899143650
#>  [97] 0.092699945 0.478294568 0.100916702 0.124758338 0.019465961 0.943788762
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   159   128    88    23   181   107    29   125    55   111   180    42   105 
#> 10.55 20.35 18.37 16.92 16.46 11.18 15.45 15.65 19.34 17.45 14.82 12.43 19.75 
#> 180.1   123   127   129    96    45  29.1   179    52 181.1   197    58   130 
#> 14.82 13.00  3.53 23.41 14.54 17.42 15.45 18.63 10.42 16.46 21.60 19.34 16.47 
#>    13   190    57   167  52.1    81    68    56  57.1  56.1  57.2 130.1  88.1 
#> 14.34 20.81 14.46 15.55 10.42 14.06 20.62 12.21 14.46 12.21 14.46 16.47 18.37 
#>    18   110   166    60 167.1    15    14    66    26 107.1    92 167.2    37 
#> 15.21 17.56 19.98 13.15 15.55 22.68 12.89 22.13 15.77 11.18 22.92 15.55 12.52 
#>   155  37.1 125.1   171   175 179.1 125.2  23.1    10   187   136    76   140 
#> 13.08 12.52 15.65 16.57 21.91 18.63 15.65 16.92 10.53  9.92 21.83 19.22 12.68 
#>    49   188    36    91 171.1   100  23.2    86    77 105.1 110.1  36.1 159.1 
#> 12.19 16.16 21.19  5.33 16.57 16.07 16.92 23.81  7.27 19.75 17.56 21.19 10.55 
#>    30  36.2  77.1   101  60.1   133  52.2   192  66.1 192.1   108    61   106 
#> 17.43 21.19  7.27  9.97 13.15 14.65 10.42 16.44 22.13 16.44 18.29 10.12 16.67 
#> 155.1  14.1  13.1    85  61.1    32     6 190.1 128.1  15.1    16    67   200 
#> 13.08 12.89 14.34 16.44 10.12 20.90 15.64 20.81 20.35 22.68  8.71 24.00 24.00 
#>    53  53.1 200.1   193   182    31    54   132  67.1   142   148   165     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    62   109   173    35   102  54.1   126    47   112 148.1    34   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1   143   176   198   163   131 173.1 198.1 132.1 198.2   191  54.2   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    95 176.1    75    72    65    12 200.2    22   196  34.1 196.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1     1  62.1    98  84.1 102.1   185  98.1 193.1 196.2   162 196.3  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1  84.2    48    74     9    46   137  35.2 109.1   7.1   103 152.1 198.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1  65.1 173.2   160 162.1  53.2  95.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008906224               1.051637991               0.773031693 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.488008832             0.007491996            -0.066348683 
#>   grade_iii, Cure model 
#>             0.910581205 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 51    18.23      1  83        0         1
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 189   10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 59    10.16      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 183    9.24      1  67        1         0
#> 171   16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 107   11.18      1  54        1         0
#> 101    9.97      1  10        0         1
#> 107.1 11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 157   15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 169   22.41      1  46        0         0
#> 37.1  12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 30    17.43      1  78        0         0
#> 85    16.44      1  36        0         0
#> 192   16.44      1  31        1         0
#> 97    19.14      1  65        0         1
#> 113   22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 30.1  17.43      1  78        0         0
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 57    14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 106   16.67      1  49        1         0
#> 14    12.89      1  21        0         0
#> 159   10.55      1  50        0         1
#> 195.1 11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 181   16.46      1  45        0         1
#> 78.1  23.88      1  43        0         0
#> 114.1 13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 164   23.60      1  76        0         1
#> 106.1 16.67      1  49        1         0
#> 40    18.00      1  28        1         0
#> 154   12.63      1  20        1         0
#> 184   17.77      1  38        0         0
#> 100   16.07      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 113.1 22.86      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 37.2  12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 189.1 10.51      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 49    12.19      1  48        1         0
#> 167   15.55      1  56        1         0
#> 195.2 11.76      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 114.2 13.68      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 10    10.53      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 134.1 17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 154.1 12.63      1  20        1         0
#> 108   18.29      1  39        0         1
#> 15.1  22.68      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 130   16.47      1  53        0         1
#> 127    3.53      1  62        0         1
#> 32    20.90      1  37        1         0
#> 4.1   17.64      1  NA        0         1
#> 49.1  12.19      1  48        1         0
#> 170.1 19.54      1  43        0         1
#> 108.1 18.29      1  39        0         1
#> 93.1  10.33      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 29    15.45      1  68        1         0
#> 181.1 16.46      1  45        0         1
#> 29.1  15.45      1  68        1         0
#> 58.1  19.34      1  39        0         0
#> 164.1 23.60      1  76        0         1
#> 110.2 17.56      1  65        0         1
#> 130.1 16.47      1  53        0         1
#> 97.1  19.14      1  65        0         1
#> 125   15.65      1  67        1         0
#> 188   16.16      1  46        0         1
#> 61.2  10.12      1  36        0         1
#> 15.2  22.68      1  48        0         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 65    24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 193.1 24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 147   24.00      0  76        1         0
#> 185   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 102   24.00      0  49        0         0
#> 135   24.00      0  58        1         0
#> 152   24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 62.1  24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 82    24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 173   24.00      0  19        0         1
#> 75    24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 20.1  24.00      0  46        1         0
#> 73.1  24.00      0  NA        0         1
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 148.2 24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 198.1 24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 84    24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 185.2 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 176.2 24.00      0  43        0         1
#> 135.1 24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 35.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 143   24.00      0  51        0         0
#> 82.2  24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 135.2 24.00      0  58        1         0
#> 75.2  24.00      0  21        1         0
#> 160.1 24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 176.3 24.00      0  43        0         1
#> 122.2 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 147.1 24.00      0  76        1         0
#> 152.2 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.488          NA        NA      NA
#> 2 age, Cure model          0.00749        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0663         NA        NA      NA
#> 4 grade_iii, Cure model    0.911          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00891        NA        NA      NA
#> 2 grade_ii, Survival model   1.05           NA        NA      NA
#> 3 grade_iii, Survival model  0.773          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.488009          0.007492         -0.066349          0.910581  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 244.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.488008832      0.007491996     -0.066348683      0.910581205 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008906224      1.051637991      0.773031693 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.261632744 0.175743027 0.175743027 0.407980971 0.004276907 0.882779039
#>   [7] 0.946258847 0.791895917 0.656299053 0.954040092 0.550649524 0.729605053
#>  [13] 0.017391520 0.296692196 0.072717278 0.341538896 0.469982699 0.226571132
#>  [19] 0.250034282 0.850291091 0.938411628 0.850291091 0.375045283 0.720550819
#>  [25] 0.318884000 0.161211702 0.791895917 0.429540284 0.499768296 0.599477943
#>  [31] 0.599477943 0.352930372 0.098005133 0.898878898 0.817066412 0.914874680
#>  [37] 0.499768296 0.214264917 0.842017250 0.747735055 0.201402179 0.530664731
#>  [43] 0.765662822 0.866516478 0.984831966 0.273412925 0.580206518 0.017391520
#>  [49] 0.684244839 0.045563952 0.530664731 0.418931234 0.774626562 0.449630890
#>  [55] 0.646804918 0.469982699 0.098005133 0.882779039 0.122494901 0.961784949
#>  [61] 0.284954139 0.791895917 0.085754897 0.449630890 0.520239542 0.738704240
#>  [67] 0.977175010 0.825509179 0.693483734 0.756716948 0.599477943 0.874637884
#>  [73] 0.961784949 0.429540284 0.627869723 0.774626562 0.386354695 0.122494901
#>  [79] 0.656299053 0.560642110 0.992423144 0.238607732 0.825509179 0.296692196
#>  [85] 0.386354695 0.898878898 0.914874680 0.702632648 0.580206518 0.702632648
#>  [91] 0.318884000 0.045563952 0.469982699 0.560642110 0.352930372 0.674935791
#>  [97] 0.637368127 0.914874680 0.122494901 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   150   194 194.1    51    24    52   187    37    26   183   171   133    78 
#> 20.33 22.40 22.40 18.23 23.89 10.42  9.92 12.52 15.77  9.24 16.57 14.65 23.88 
#>   170   129    76   110    36    68   107   101 107.1     8   157    58   169 
#> 19.54 23.41 19.22 17.56 21.19 20.62 11.18  9.97 11.18 18.43 15.10 19.34 22.41 
#>  37.1   134    30    85   192    97   113    93    42    61  30.1   153    43 
#> 12.52 17.81 17.43 16.44 16.44 19.14 22.86 10.33 12.43 10.12 17.43 21.33 12.10 
#>    57   136   106    14   159    25   158   181  78.1    39   164 106.1    40 
#> 14.46 21.83 16.67 12.89 10.55  6.32 20.14 16.46 23.88 15.59 23.60 16.67 18.00 
#>   154   184   100 110.1 113.1  52.1    15    16   105  37.2    92 184.1    23 
#> 12.63 17.77 16.07 17.56 22.86 10.42 22.68  8.71 19.75 12.52 22.92 17.77 16.92 
#>    96   149    49   167    13  85.1    10  16.1 134.1    79 154.1   108  15.1 
#> 14.54  8.37 12.19 15.55 14.34 16.44 10.53  8.71 17.81 16.23 12.63 18.29 22.68 
#>  26.1   130   127    32  49.1 170.1 108.1  93.1  61.1    29 181.1  29.1  58.1 
#> 15.77 16.47  3.53 20.90 12.19 19.54 18.29 10.33 10.12 15.45 16.46 15.45 19.34 
#> 164.1 110.2 130.1  97.1   125   188  61.2  15.2     2   165   193   163    33 
#> 23.60 17.56 16.47 19.14 15.65 16.16 10.12 22.68 24.00 24.00 24.00 24.00 24.00 
#>    62   174   109   103    65   122   176   148   131   198 193.1    83     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    47    44   147   185 148.1    19   118     7    64   102   135   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104  62.1    95 176.1    82    80    20     1   173    75    27 165.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1   172   126    35 185.1 122.1   191   138 148.2  75.1 198.1   3.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    84  82.1 185.2  27.1    54 176.2 135.1  54.1  35.1   160   119   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  82.2   132  33.1 152.1 135.2  75.2 160.1 126.1   142 176.3 122.2    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1 152.2 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004915339               0.612092898               0.408083405 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.25750923              0.02540619              0.10918901 
#>   grade_iii, Cure model 
#>              0.79705354 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 76    19.22      1  54        0         1
#> 149    8.37      1  33        1         0
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 96    14.54      1  33        0         1
#> 10.1  10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 181   16.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 199   19.81      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 192   16.44      1  31        1         0
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 42.1  12.43      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 157   15.10      1  47        0         0
#> 149.1  8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 5     16.43      1  51        0         1
#> 91     5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 24    23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 187    9.92      1  39        1         0
#> 24.1  23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 140   12.68      1  59        1         0
#> 89    11.44      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 140.1 12.68      1  59        1         0
#> 195   11.76      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 25     6.32      1  34        1         0
#> 70.1   7.38      1  30        1         0
#> 15.1  22.68      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 190   20.81      1  42        1         0
#> 117.1 17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 134   17.81      1  47        1         0
#> 52    10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 55    19.34      1  69        0         1
#> 129.1 23.41      1  53        1         0
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 140.2 12.68      1  59        1         0
#> 16.1   8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 140.3 12.68      1  59        1         0
#> 66    22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 169   22.41      1  46        0         0
#> 14.1  12.89      1  21        0         0
#> 50.1  10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 77.1   7.27      1  67        0         1
#> 153.1 21.33      1  55        1         0
#> 153.2 21.33      1  55        1         0
#> 125.1 15.65      1  67        1         0
#> 134.1 17.81      1  47        1         0
#> 145   10.07      1  65        1         0
#> 110.1 17.56      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 192.1 16.44      1  31        1         0
#> 184.1 17.77      1  38        0         0
#> 79.2  16.23      1  54        1         0
#> 86.2  23.81      1  58        0         1
#> 136   21.83      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 158.1 20.14      1  74        1         0
#> 134.2 17.81      1  47        1         0
#> 114.1 13.68      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 13.2  14.34      1  54        0         1
#> 149.2  8.37      1  33        1         0
#> 11    24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 147   24.00      0  76        1         0
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 147.1 24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 147.2 24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 152.2 24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 156   24.00      0  50        1         0
#> 21.1  24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 156.1 24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 7.1   24.00      0  37        1         0
#> 104   24.00      0  50        1         0
#> 7.2   24.00      0  37        1         0
#> 73.1  24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 27.1  24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 7.3   24.00      0  37        1         0
#> 116   24.00      0  58        0         1
#> 74    24.00      0  43        0         1
#> 141.2 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 7.4   24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 147.3 24.00      0  76        1         0
#> 2.1   24.00      0   9        0         0
#> 67.2  24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 186.1 24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 83.1  24.00      0   6        0         0
#> 193.1 24.00      0  45        0         1
#> 174.1 24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 112   24.00      0  61        0         0
#> 109.1 24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 138.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 182.1 24.00      0  35        0         0
#> 73.2  24.00      0  NA        0         1
#> 2.2   24.00      0   9        0         0
#> 35    24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 9.1   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 104.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.26          NA        NA      NA
#> 2 age, Cure model           0.0254        NA        NA      NA
#> 3 grade_ii, Cure model      0.109         NA        NA      NA
#> 4 grade_iii, Cure model     0.797         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00492        NA        NA      NA
#> 2 grade_ii, Survival model   0.612          NA        NA      NA
#> 3 grade_iii, Survival model  0.408          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.25751           0.02541           0.10919           0.79705  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 242 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.25750923       0.02540619       0.10918901       0.79705354 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004915339      0.612092898      0.408083405 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59444527 0.89043371 0.99164320 0.30976030 0.90768741 0.83800519
#>   [7] 0.48011178 0.71392827 0.80289929 0.60380818 0.38061979 0.66839215
#>  [13] 0.83800519 0.57591744 0.49998999 0.49006691 0.32025906 0.82923452
#>  [19] 0.13324414 0.72301935 0.07337527 0.12179174 0.27916604 0.93303601
#>  [25] 0.08728471 0.20465321 0.54806007 0.50987277 0.45012747 0.45012747
#>  [31] 0.80289929 0.27916604 0.64066672 0.90768741 0.44013948 0.53840559
#>  [37] 0.97498482 0.42053027 0.01213851 0.79403836 0.62224484 0.87304702
#>  [43] 0.01213851 0.77626933 0.74113163 0.04051809 0.04051809 0.68683545
#>  [49] 0.94983180 0.78513834 0.40062096 0.74113163 0.54806007 0.68683545
#>  [55] 0.96660331 0.93303601 0.13324414 0.32025906 0.24784739 0.42053027
#>  [61] 0.50987277 0.34079026 0.35127516 0.85551086 0.65912191 0.25859272
#>  [67] 0.27916604 0.08728471 0.18013049 0.74113163 0.89043371 0.67762669
#>  [73] 0.11012787 0.88175437 0.74113163 0.16794379 0.82045322 0.64988342
#>  [79] 0.15595686 0.72301935 0.47010908 0.94983180 0.20465321 0.20465321
#>  [85] 0.57591744 0.35127516 0.86429406 0.40062096 0.97498482 0.50987277
#>  [91] 0.38061979 0.54806007 0.04051809 0.19247659 0.60380818 0.63147729
#>  [97] 0.23686396 0.25859272 0.35127516 0.68683545 0.90768741 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     6    16   127    76   149    10   171   123    42    39   184    96  10.1 
#> 15.64  8.71  3.53 19.22  8.37 10.53 16.57 13.00 12.43 15.59 17.77 14.54 10.53 
#>   125   181   130    97    43    15    14   168    92    58    70   129   153 
#> 15.65 16.46 16.47 19.14 12.10 22.68 12.89 23.72 22.92 19.34  7.38 23.41 21.33 
#>    79   192    23  23.1  42.1  58.1   157 149.1    30     5    91   117    24 
#> 16.23 16.44 16.92 16.92 12.43 19.34 15.10  8.37 17.43 16.43  5.33 17.46 23.89 
#>    37   167   187  24.1   154   140    86  86.1    13    77   177   110 140.1 
#> 12.52 15.55  9.92 23.89 12.63 12.68 23.81 23.81 14.34  7.27 12.53 17.56 12.68 
#>  79.1  13.1    25  70.1  15.1  97.1   190 117.1    85   179   134    52   133 
#> 16.23 14.34  6.32  7.38 22.68 19.14 20.81 17.46 16.44 18.63 17.81 10.42 14.65 
#>   158    55 129.1   175 140.2  16.1    57    69   183 140.3    66    49   180 
#> 20.14 19.34 23.41 21.91 12.68  8.71 14.46 23.23  9.24 12.68 22.13 12.19 14.82 
#>   169  14.1   106  77.1 153.1 153.2 125.1 134.1   145 110.1  91.1 192.1 184.1 
#> 22.41 12.89 16.67  7.27 21.33 21.33 15.65 17.81 10.07 17.56  5.33 16.44 17.77 
#>  79.2  86.2   136  39.1    29    32 158.1 134.2  13.2 149.2    11   141   152 
#> 16.23 23.81 21.83 15.59 15.45 20.90 20.14 17.81 14.34  8.37 24.00 24.00 24.00 
#>    21     1   182   147 152.1    83   174   193     2   109 147.1   162   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   146 147.2    80    62    87   160 141.1 152.2    44   156  21.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1    71   138    48   102    27     7    33   103   7.1   104   7.2 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151  27.1 102.1   7.3   116    74 141.2    95   119   7.4     3  67.1 147.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1  67.2   186 186.1    17   120    72  83.1 193.1 174.1     9    98   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   144 138.1    31   137    82 182.1   2.2    35 126.1   198   9.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   196 104.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005833565               0.222157399               0.079972352 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.678636468             0.008594507             0.498396155 
#>   grade_iii, Cure model 
#>             1.009429425 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 167   15.55      1  56        1         0
#> 155   13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 32    20.90      1  37        1         0
#> 61    10.12      1  36        0         1
#> 101    9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 158   20.14      1  74        1         0
#> 181   16.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 43    12.10      1  61        0         1
#> 181.1 16.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 199.1 19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 41    18.02      1  40        1         0
#> 105   19.75      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 10    10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 26    15.77      1  49        0         1
#> 130   16.47      1  53        0         1
#> 70     7.38      1  30        1         0
#> 10.1  10.53      1  34        0         0
#> 32.1  20.90      1  37        1         0
#> 177   12.53      1  75        0         0
#> 197   21.60      1  69        1         0
#> 177.1 12.53      1  75        0         0
#> 97    19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 99    21.19      1  38        0         1
#> 192   16.44      1  31        1         0
#> 199.2 19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 37    12.52      1  57        1         0
#> 150   20.33      1  48        0         0
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 190   20.81      1  42        1         0
#> 157   15.10      1  47        0         0
#> 68.1  20.62      1  44        0         0
#> 30    17.43      1  78        0         0
#> 153.2 21.33      1  55        1         0
#> 56    12.21      1  60        0         0
#> 41.2  18.02      1  40        1         0
#> 108   18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 86    23.81      1  58        0         1
#> 10.2  10.53      1  34        0         0
#> 108.1 18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 10.3  10.53      1  34        0         0
#> 149    8.37      1  33        1         0
#> 15.1  22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 57.1  14.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 159   10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 188   16.16      1  46        0         1
#> 63    22.77      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 8.1   18.43      1  32        0         0
#> 168   23.72      1  70        0         0
#> 136.1 21.83      1  43        0         1
#> 127    3.53      1  62        0         1
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 99.1  21.19      1  38        0         1
#> 155.1 13.08      1  26        0         0
#> 133   14.65      1  57        0         0
#> 56.1  12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 129.1 23.41      1  53        1         0
#> 50.1  10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 130.1 16.47      1  53        0         1
#> 49.1  12.19      1  48        1         0
#> 32.2  20.90      1  37        1         0
#> 195   11.76      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 99.2  21.19      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 108.2 18.29      1  39        0         1
#> 89    11.44      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 117   17.46      1  26        0         1
#> 60.1  13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 168.1 23.72      1  70        0         0
#> 77     7.27      1  67        0         1
#> 4.1   17.64      1  NA        0         1
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 116.1 24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 74    24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 144.1 24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 33    24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 116.2 24.00      0  58        0         1
#> 62    24.00      0  71        0         0
#> 156.1 24.00      0  50        1         0
#> 196.1 24.00      0  19        0         0
#> 83.1  24.00      0   6        0         0
#> 196.2 24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 162.1 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 144.2 24.00      0  28        0         1
#> 84.1  24.00      0  39        0         1
#> 182   24.00      0  35        0         0
#> 160.1 24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 95.1  24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 162.2 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 62.2  24.00      0  71        0         0
#> 142.1 24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 20.1  24.00      0  46        1         0
#> 161.1 24.00      0  45        0         0
#> 135.1 24.00      0  58        1         0
#> 72.1  24.00      0  40        0         1
#> 95.2  24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 137.1 24.00      0  45        1         0
#> 141.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 28.1  24.00      0  67        1         0
#> 83.2  24.00      0   6        0         0
#> 83.3  24.00      0   6        0         0
#> 172.1 24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 44    24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 142.2 24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 62.3  24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 80.1  24.00      0  41        0         0
#> 163.1 24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 182.1 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.679          NA        NA      NA
#> 2 age, Cure model          0.00859        NA        NA      NA
#> 3 grade_ii, Cure model     0.498          NA        NA      NA
#> 4 grade_iii, Cure model    1.01           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00583        NA        NA      NA
#> 2 grade_ii, Survival model   0.222          NA        NA      NA
#> 3 grade_iii, Survival model  0.0800         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.678636          0.008595          0.498396          1.009429  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 253.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.678636468      0.008594507      0.498396155      1.009429425 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005833565      0.222157399      0.079972352 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.001980361 0.102527761 0.554888724 0.649559031 0.128194179 0.977419291
#>   [7] 0.691961789 0.402384257 0.187106958 0.876579201 0.909989039 0.047204387
#>  [13] 0.628465937 0.153397935 0.258477545 0.462650070 0.921182455 0.093971263
#>  [19] 0.432421898 0.596803538 0.670749014 0.788988341 0.462650070 0.128194179
#>  [25] 0.876579201 0.069917890 0.670749014 0.353830347 0.267831495 0.353830347
#>  [31] 0.810941012 0.534100762 0.523758160 0.442512623 0.954899035 0.810941012
#>  [37] 0.187106958 0.713359568 0.119354401 0.713359568 0.277282953 0.932397024
#>  [43] 0.153397935 0.482934949 0.305843199 0.734805122 0.249187177 0.565322334
#>  [49] 0.221999910 0.212988817 0.575767844 0.221999910 0.422345691 0.128194179
#>  [55] 0.745623919 0.353830347 0.325071918 0.085617439 0.006899477 0.810941012
#>  [61] 0.325071918 0.025943668 0.810941012 0.943650047 0.069917890 0.286818484
#>  [67] 0.596803538 0.286818484 0.799950308 0.239980668 0.898792614 0.513453424
#>  [73] 0.062036859 0.482934949 0.305843199 0.013026412 0.102527761 0.988693819
#>  [79] 0.382616077 0.039575059 0.153397935 0.649559031 0.586259000 0.745623919
#>  [85] 0.767288890 0.503184080 0.025943668 0.854434242 0.442512623 0.767288890
#>  [91] 0.187106958 0.854434242 0.153397935 0.047204387 0.702669738 0.325071918
#>  [97] 0.617829241 0.544474553 0.412356611 0.628465937 0.392475416 0.013026412
#> [103] 0.966141630 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    24   136   167   155   153    25   140   110    32    61   101    92    60 
#> 23.89 21.83 15.55 13.08 21.33  6.32 12.68 17.56 20.90 10.12  9.97 22.92 13.15 
#>    36   158   181   183    66   106    57   123    43 181.1 153.1  61.1    15 
#> 21.19 20.14 16.46  9.24 22.13 16.67 14.46 13.00 12.10 16.46 21.33 10.12 22.68 
#> 123.1    41   105  41.1    10   125    26   130    70  10.1  32.1   177   197 
#> 13.00 18.02 19.75 18.02 10.53 15.65 15.77 16.47  7.38 10.53 20.90 12.53 21.60 
#> 177.1    97    16    99   192     8    37   150    18    68   190   157  68.1 
#> 12.53 19.14  8.71 21.19 16.44 18.43 12.52 20.33 15.21 20.62 20.81 15.10 20.62 
#>    30 153.2    56  41.2   108   194    86  10.2 108.1   129  10.3   149  15.1 
#> 17.43 21.33 12.21 18.02 18.29 22.40 23.81 10.53 18.29 23.41 10.53  8.37 22.68 
#>   179  57.1 179.1   159   128   145   188    63 192.1   8.1   168 136.1   127 
#> 18.63 14.46 18.63 10.55 20.35 10.07 16.16 22.77 16.44 18.43 23.72 21.83  3.53 
#>   134    69  99.1 155.1   133  56.1    49     5 129.1    52 130.1  49.1  32.2 
#> 17.81 23.23 21.19 13.08 14.65 12.21 12.19 16.43 23.41 10.42 16.47 12.19 20.90 
#>  52.1  99.2  92.1   154 108.2    81     6   117  60.1   184 168.1    77   165 
#> 10.42 21.19 22.92 12.63 18.29 14.06 15.64 17.46 13.15 17.77 23.72  7.27 24.00 
#>   144   116   156     3   193   196 116.1   138    80    83    74    84    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   162    38   137    22   163   142   103   172    72    27    98    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    71 116.2    62 156.1 196.1  83.1 196.2   118  62.1   135 162.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   173   141 144.2  84.1   182 160.1  38.1    28  95.1   143    12     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.2     2   161   148  62.2 142.1   200  20.1 161.1 135.1  72.1  95.2   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 141.1   186   122 186.1    75   132  28.1  83.2  83.3 172.1   151    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 142.2  62.3   126  80.1 163.1    54 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01358037                0.05238906               -0.05744450 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.172706396            -0.002368446            -0.276291052 
#>   grade_iii, Cure model 
#>             0.794192893 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 149    8.37      1  33        1         0
#> 190   20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 56.1  12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 127    3.53      1  62        0         1
#> 18    15.21      1  49        1         0
#> 41    18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 192   16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 61    10.12      1  36        0         1
#> 106   16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 111   17.45      1  47        0         1
#> 86    23.81      1  58        0         1
#> 170   19.54      1  43        0         1
#> 56.2  12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 42    12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 86.1  23.81      1  58        0         1
#> 56.3  12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 108   18.29      1  39        0         1
#> 123.1 13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 68    20.62      1  44        0         0
#> 81    14.06      1  34        0         0
#> 106.1 16.67      1  49        1         0
#> 52    10.42      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 41.1  18.02      1  40        1         0
#> 188.1 16.16      1  46        0         1
#> 155   13.08      1  26        0         0
#> 16     8.71      1  71        0         1
#> 153.1 21.33      1  55        1         0
#> 101.1  9.97      1  10        0         1
#> 133   14.65      1  57        0         0
#> 101.2  9.97      1  10        0         1
#> 155.1 13.08      1  26        0         0
#> 37.1  12.52      1  57        1         0
#> 45.1  17.42      1  54        0         1
#> 100   16.07      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 91.1   5.33      1  61        0         1
#> 81.1  14.06      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 117.1 17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 155.2 13.08      1  26        0         0
#> 155.3 13.08      1  26        0         0
#> 37.2  12.52      1  57        1         0
#> 25.2   6.32      1  34        1         0
#> 36    21.19      1  48        0         1
#> 70     7.38      1  30        1         0
#> 129.1 23.41      1  53        1         0
#> 100.1 16.07      1  60        0         0
#> 32    20.90      1  37        1         0
#> 190.1 20.81      1  42        1         0
#> 63    22.77      1  31        1         0
#> 184   17.77      1  38        0         0
#> 77     7.27      1  67        0         1
#> 15.1  22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 157   15.10      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 184.1 17.77      1  38        0         0
#> 5     16.43      1  51        0         1
#> 153.2 21.33      1  55        1         0
#> 180   14.82      1  37        0         0
#> 101.3  9.97      1  10        0         1
#> 4.1   17.64      1  NA        0         1
#> 90.1  20.94      1  50        0         1
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 183.1  9.24      1  67        1         0
#> 16.2   8.71      1  71        0         1
#> 76.1  19.22      1  54        0         1
#> 37.3  12.52      1  57        1         0
#> 39    15.59      1  37        0         1
#> 56.4  12.21      1  60        0         0
#> 177   12.53      1  75        0         0
#> 133.1 14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 69    23.23      1  25        0         1
#> 184.2 17.77      1  38        0         0
#> 149.1  8.37      1  33        1         0
#> 110   17.56      1  65        0         1
#> 149.2  8.37      1  33        1         0
#> 4.2   17.64      1  NA        0         1
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 98    24.00      0  34        1         0
#> 122   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 27.1  24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 31    24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 148.1 24.00      0  61        1         0
#> 20    24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 152.1 24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 31.1  24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 31.2  24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 38    24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 38.2  24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 98.1  24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 146.2 24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 38.3  24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 22.2  24.00      0  52        1         0
#> 104.2 24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 109   24.00      0  48        0         0
#> 151.2 24.00      0  42        0         0
#> 137.1 24.00      0  45        1         0
#> 146.3 24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 109.1 24.00      0  48        0         0
#> 156.1 24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 67.1  24.00      0  25        0         0
#> 38.4  24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 156.2 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 34.1  24.00      0  36        0         0
#> 191   24.00      0  60        0         1
#> 131.1 24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 148.2 24.00      0  61        1         0
#> 7     24.00      0  37        1         0
#> 122.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.173          NA        NA      NA
#> 2 age, Cure model         -0.00237        NA        NA      NA
#> 3 grade_ii, Cure model    -0.276          NA        NA      NA
#> 4 grade_iii, Cure model    0.794          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0136        NA        NA      NA
#> 2 grade_ii, Survival model    0.0524        NA        NA      NA
#> 3 grade_iii, Survival model  -0.0574        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.172706         -0.002368         -0.276291          0.794193  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.172706396     -0.002368446     -0.276291052      0.794192893 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01358037       0.05238906      -0.05744450 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.835714e-01 8.172849e-01 3.706445e-02 5.677095e-01 2.446767e-01
#>   [6] 8.984280e-01 4.402240e-01 5.677095e-01 3.590959e-01 5.248689e-05
#>  [11] 9.825404e-01 3.043592e-01 1.233201e-01 3.369747e-03 2.261701e-01
#>  [16] 6.367803e-01 6.661130e-01 2.084429e-01 2.622476e-02 1.830663e-01
#>  [21] 3.153494e-04 6.356779e-02 5.677095e-01 9.688553e-02 5.862051e-02
#>  [26] 5.541398e-01 1.671678e-01 5.386554e-02 5.024501e-01 1.042292e-02
#>  [31] 9.482893e-01 3.153494e-04 5.677095e-01 6.870445e-02 4.771587e-01
#>  [36] 1.163869e-01 4.402240e-01 1.497242e-02 8.486986e-02 4.935523e-02
#>  [41] 1.913813e-01 6.810064e-01 4.500911e-02 3.705825e-01 2.084429e-01
#>  [46] 6.513585e-01 8.984280e-01 1.032700e-01 1.233201e-01 2.446767e-01
#>  [51] 3.937222e-01 7.701012e-01 1.497242e-02 6.810064e-01 3.367691e-01
#>  [56] 6.810064e-01 3.937222e-01 5.024501e-01 1.913813e-01 2.637245e-01
#>  [61] 1.032700e-01 9.482893e-01 3.705825e-01 7.701012e-01 1.671678e-01
#>  [66] 3.937222e-01 3.937222e-01 5.024501e-01 8.984280e-01 2.295597e-02
#>  [71] 8.653766e-01 3.369747e-03 2.637245e-01 3.321000e-02 3.706445e-02
#>  [76] 8.337590e-03 1.373942e-01 8.818063e-01 1.042292e-02 1.293880e-03
#>  [81] 6.870445e-02 3.149997e-01 1.293880e-03 1.373942e-01 2.353274e-01
#>  [86] 1.497242e-02 3.258126e-01 6.810064e-01 2.622476e-02 7.395270e-01
#>  [91] 4.646819e-01 7.395270e-01 7.701012e-01 8.486986e-02 5.024501e-01
#>  [96] 2.938865e-01 5.677095e-01 4.897001e-01 3.367691e-01 6.870445e-02
#> [101] 6.403068e-03 1.373942e-01 8.172849e-01 1.592793e-01 8.172849e-01
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   125   149   190    56   188    25   123  56.1    96    78   127    18    41 
#> 15.65  8.37 20.81 12.21 16.16  6.32 13.00 12.21 14.54 23.88  3.53 15.21 18.02 
#>   129   192    10    61   106    90   111    86   170  56.2   179   166    42 
#> 23.41 16.44 10.53 10.12 16.67 20.94 17.45 23.81 19.54 12.21 18.63 19.98 12.43 
#>   117   158    37    15    91  86.1  56.3    55   154   108 123.1   153    76 
#> 17.46 20.14 12.52 22.68  5.33 23.81 12.21 19.34 12.63 18.29 13.00 21.33 19.22 
#>   128    45   101    68    81 106.1    52  25.1    88  41.1 188.1   155    16 
#> 20.35 17.42  9.97 20.62 14.06 16.67 10.42  6.32 18.37 18.02 16.16 13.08  8.71 
#> 153.1 101.1   133 101.2 155.1  37.1  45.1   100  88.1  91.1  81.1  16.1 117.1 
#> 21.33  9.97 14.65  9.97 13.08 12.52 17.42 16.07 18.37  5.33 14.06  8.71 17.46 
#> 155.2 155.3  37.2  25.2    36    70 129.1 100.1    32 190.1    63   184    77 
#> 13.08 13.08 12.52  6.32 21.19  7.38 23.41 16.07 20.90 20.81 22.77 17.77  7.27 
#>  15.1   164    58   157 164.1 184.1     5 153.2   180 101.3  90.1   183    14 
#> 22.68 23.60 19.34 15.10 23.60 17.77 16.43 21.33 14.82  9.97 20.94  9.24 12.89 
#> 183.1  16.2  76.1  37.3    39  56.4   177 133.1  55.1    69 184.2 149.1   110 
#>  9.24  8.71 19.22 12.52 15.59 12.21 12.53 14.65 19.34 23.23 17.77  8.37 17.56 
#> 149.2    27   174    98   122   200  27.1   148    54    31   143    83    47 
#>  8.37 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    20    34   152    84    12 152.1   173   141    11  31.1   172    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2   146    95 200.1   156    62  83.1    38 146.1    22   131    21    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 143.1  38.1  38.2  22.1  95.1  98.1   118   121   151   137   135 146.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1 151.1   104 104.1  38.3    67   132   112  22.2 104.2    28   109 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 146.3 172.1 135.1 109.1 156.1    87  67.1  38.4  28.1 156.2     3   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   191 131.1    71   3.1    80   178    72 148.2     7 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003850403               0.884318249               0.277342271 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97821651              0.01451977              0.30921445 
#>   grade_iii, Cure model 
#>              1.42337200 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 133   14.65      1  57        0         0
#> 86    23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 111   17.45      1  47        0         1
#> 52    10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 181   16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 13    14.34      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 91     5.33      1  61        0         1
#> 90    20.94      1  50        0         1
#> 49    12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 59    10.16      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 192   16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 125   15.65      1  67        1         0
#> 88.1  18.37      1  47        0         0
#> 125.1 15.65      1  67        1         0
#> 77     7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 85    16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 139   21.49      1  63        1         0
#> 192.1 16.44      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 187.1  9.92      1  39        1         0
#> 167   15.55      1  56        1         0
#> 197   21.60      1  69        1         0
#> 77.1   7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 26.2  15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 41    18.02      1  40        1         0
#> 107   11.18      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 26.3  15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 68    20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 145.1 10.07      1  65        1         0
#> 113   22.86      1  34        0         0
#> 183.1  9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 111.1 17.45      1  47        0         1
#> 107.1 11.18      1  54        1         0
#> 41.1  18.02      1  40        1         0
#> 189.2 10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 183.2  9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 32.1  20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 99.1  21.19      1  38        0         1
#> 81    14.06      1  34        0         0
#> 90.2  20.94      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 168   23.72      1  70        0         0
#> 85.1  16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 180   14.82      1  37        0         0
#> 111.2 17.45      1  47        0         1
#> 61    10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 76.1  19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 125.2 15.65      1  67        1         0
#> 113.1 22.86      1  34        0         0
#> 24    23.89      1  38        0         0
#> 68.1  20.62      1  44        0         0
#> 15.1  22.68      1  48        0         0
#> 97    19.14      1  65        0         1
#> 69    23.23      1  25        0         1
#> 90.3  20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 56    12.21      1  60        0         0
#> 134   17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 149    8.37      1  33        1         0
#> 111.3 17.45      1  47        0         1
#> 150   20.33      1  48        0         0
#> 105.1 19.75      1  60        0         0
#> 101    9.97      1  10        0         1
#> 188.1 16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 194   22.40      1  38        0         1
#> 92.2  22.92      1  47        0         1
#> 36.1  21.19      1  48        0         1
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 54    24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 67    24.00      0  25        0         0
#> 28    24.00      0  67        1         0
#> 17    24.00      0  38        0         1
#> 28.1  24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 198.1 24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 17.1  24.00      0  38        0         1
#> 7.1   24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 161   24.00      0  45        0         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 73.1  24.00      0  NA        0         1
#> 65.1  24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 34.1  24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 112.1 24.00      0  61        0         0
#> 71    24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 67.1  24.00      0  25        0         0
#> 11.1  24.00      0  42        0         1
#> 98.1  24.00      0  34        1         0
#> 104   24.00      0  50        1         0
#> 172.1 24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 11.2  24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 112.2 24.00      0  61        0         0
#> 151   24.00      0  42        0         0
#> 121.1 24.00      0  57        1         0
#> 11.3  24.00      0  42        0         1
#> 9     24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 71.2  24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 73.2  24.00      0  NA        0         1
#> 3.2   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 146.2 24.00      0  63        1         0
#> 34.2  24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 54.1  24.00      0  53        1         0
#> 119.2 24.00      0  17        0         0
#> 102.1 24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.978         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model      0.309         NA        NA      NA
#> 4 grade_iii, Cure model     1.42          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00385        NA        NA      NA
#> 2 grade_ii, Survival model   0.884          NA        NA      NA
#> 3 grade_iii, Survival model  0.277          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.97822           0.01452           0.30921           1.42337  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 244.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97821651       0.01451977       0.30921445       1.42337200 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003850403      0.884318249      0.277342271 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.788332047 0.032887712 0.673483668 0.372993941 0.905617232 0.587462116
#>   [7] 0.890332322 0.690403596 0.690403596 0.631197095 0.503904662 0.353941310
#>  [13] 0.985786404 0.796317338 0.503904662 0.992894305 0.314598046 0.851842147
#>  [19] 0.274821612 0.062662909 0.401085585 0.264095203 0.942812373 0.928113410
#>  [25] 0.639981340 0.522600330 0.723679755 0.522600330 0.723679755 0.971506519
#>  [31] 0.772404072 0.639981340 0.622399424 0.274821612 0.104655648 0.252934091
#>  [37] 0.639981340 0.812286146 0.928113410 0.756246608 0.230223326 0.971506519
#>  [43] 0.859637267 0.466456940 0.690403596 0.429266655 0.560342529 0.867429323
#>  [49] 0.429266655 0.690403596 0.764362206 0.382387556 0.018333818 0.314598046
#>  [55] 0.905617232 0.141260934 0.942812373 0.550871615 0.587462116 0.867429323
#>  [61] 0.560342529 0.179942235 0.942812373 0.836121176 0.353941310 0.104655648
#>  [67] 0.274821612 0.804296879 0.314598046 0.062662909 0.820282906 0.204609389
#>  [73] 0.047206288 0.639981340 0.475887500 0.230223326 0.780362663 0.587462116
#>  [79] 0.897979616 0.541407434 0.475887500 0.882679758 0.723679755 0.141260934
#>  [85] 0.005761433 0.382387556 0.179942235 0.494509308 0.090142611 0.314598046
#>  [91] 0.447782110 0.167456391 0.419975319 0.843974110 0.578470765 0.828199100
#>  [97] 0.964338078 0.587462116 0.410512113 0.447782110 0.920605219 0.673483668
#> [103] 0.748047271 0.217469027 0.104655648 0.274821612 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   133    86   188   190   145   111    52    26  26.1   181     8    32    25 
#> 14.65 23.81 16.16 20.81 10.07 17.45 10.42 15.77 15.77 16.46 18.43 20.90  6.32 
#>    13   8.1    91    90    49    36   164   128   153   183   187   192    88 
#> 14.34 18.43  5.33 20.94 12.19 21.19 23.60 20.35 21.33  9.24  9.92 16.44 18.37 
#>   125  88.1 125.1    77    18    85   106    99    92   139 192.1   155 187.1 
#> 15.65 18.37 15.65  7.27 15.21 16.44 16.67 21.19 22.92 21.49 16.44 13.08  9.92 
#>   167   197  77.1    43    55  26.2   166    41   107 166.1  26.3    29    68 
#> 15.55 21.60  7.27 12.10 19.34 15.77 19.98 18.02 11.18 19.98 15.77 15.45 20.62 
#>    78  90.1 145.1   113 183.1    51 111.1 107.1  41.1    15 183.2   140  32.1 
#> 23.88 20.94 10.07 22.86  9.24 18.23 17.45 11.18 18.02 22.68  9.24 12.68 20.90 
#>  92.1  99.1    81  90.2 164.1   123   169   168  85.1    76 197.1   180 111.2 
#> 22.92 21.19 14.06 20.94 23.60 13.00 22.41 23.72 16.44 19.22 21.60 14.82 17.45 
#>    61   108  76.1   159 125.2 113.1    24  68.1  15.1    97    69  90.3   105 
#> 10.12 18.29 19.22 10.55 15.65 22.86 23.89 20.62 22.68 19.14 23.23 20.94 19.75 
#>    63   158    56   134    14   149 111.3   150 105.1   101 188.1    39   194 
#> 22.77 20.14 12.21 17.81 12.89  8.37 17.45 20.33 19.75  9.97 16.16 15.59 22.40 
#>  92.2  36.1   198   156    33   174   119    54    65   137    75    34    67 
#> 22.92 21.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    17  28.1   147    12   112     7   102 198.1   165   144    80   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  17.1   7.1    72   161   135   196  65.1    83  34.1   148   121    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   172 112.1    71 122.1 119.1    11    98  67.1  11.1  98.1   104 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    48 165.1   103 103.1   193  11.2    87    38   142  33.1     3   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 112.2   151 121.1  11.3     9  83.1  71.1  65.2 146.1  71.2   3.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   3.2    21 146.2  34.2     1  54.1 119.2 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003705079               0.494852878               0.221731398 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.253298261            -0.003285363             0.403862002 
#>   grade_iii, Cure model 
#>             1.677948635 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 155   13.08      1  26        0         0
#> 61    10.12      1  36        0         1
#> 139   21.49      1  63        1         0
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 39    15.59      1  37        0         1
#> 23    16.92      1  61        0         0
#> 40    18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 24    23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 167   15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 60    13.15      1  38        1         0
#> 14    12.89      1  21        0         0
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 123.1 13.00      1  44        1         0
#> 197   21.60      1  69        1         0
#> 41    18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 40.1  18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 93    10.33      1  52        0         1
#> 30    17.43      1  78        0         0
#> 154.1 12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 106.1 16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 51    18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 93.1  10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 108.1 18.29      1  39        0         1
#> 159.1 10.55      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 157   15.10      1  47        0         0
#> 133   14.65      1  57        0         0
#> 187.1  9.92      1  39        1         0
#> 50    10.02      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 6     15.64      1  39        0         0
#> 51.1  18.23      1  83        0         1
#> 123.2 13.00      1  44        1         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 45.1  17.42      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 26    15.77      1  49        0         1
#> 81.1  14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 106.2 16.67      1  49        1         0
#> 40.2  18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 108.2 18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 113.1 22.86      1  34        0         0
#> 76.1  19.22      1  54        0         1
#> 51.2  18.23      1  83        0         1
#> 134.1 17.81      1  47        1         0
#> 106.3 16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 117.1 17.46      1  26        0         1
#> 108.3 18.29      1  39        0         1
#> 181.1 16.46      1  45        0         1
#> 15.1  22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 79.2  16.23      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 43    12.10      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 86.1  23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 153.1 21.33      1  55        1         0
#> 8.1   18.43      1  32        0         0
#> 157.1 15.10      1  47        0         0
#> 92.1  22.92      1  47        0         1
#> 92.2  22.92      1  47        0         1
#> 183.1  9.24      1  67        1         0
#> 58.1  19.34      1  39        0         0
#> 102   24.00      0  49        0         0
#> 200   24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 141.1 24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 21    24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 161   24.00      0  45        0         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 151   24.00      0  42        0         0
#> 73    24.00      0  NA        0         1
#> 118   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 48    24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 131.1 24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 135   24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 132.1 24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 135.1 24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 1.2   24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 131.2 24.00      0  66        0         0
#> 46.1  24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 198.1 24.00      0  66        0         1
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 161.1 24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 115.2 24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 135.2 24.00      0  58        1         0
#> 12.1  24.00      0  63        0         0
#> 80    24.00      0  41        0         0
#> 200.1 24.00      0  64        0         0
#> 27.1  24.00      0  63        1         0
#> 122.2 24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 38.1  24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 196   24.00      0  19        0         0
#> 174.2 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.253          NA        NA      NA
#> 2 age, Cure model         -0.00329        NA        NA      NA
#> 3 grade_ii, Cure model     0.404          NA        NA      NA
#> 4 grade_iii, Cure model    1.68           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00371        NA        NA      NA
#> 2 grade_ii, Survival model   0.495          NA        NA      NA
#> 3 grade_iii, Survival model  0.222          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.253298         -0.003285          0.403862          1.677949  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 238.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.253298261     -0.003285363      0.403862002      1.677948635 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003705079      0.494852878      0.221731398 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.841888638 0.348041138 0.298115818 0.298115818 0.209640010 0.779268104
#>   [7] 0.912699226 0.170156673 0.939113531 0.868531893 0.605471136 0.056635460
#>  [13] 0.697190934 0.540759748 0.436715780 0.097054704 0.521812158 0.007065226
#>  [19] 0.678903100 0.219541329 0.706332428 0.550352320 0.991288544 0.317909797
#>  [25] 0.824154351 0.068232704 0.623942125 0.770141273 0.815136941 0.788404763
#>  [31] 0.022339832 0.788404763 0.159687988 0.426693481 0.921555064 0.642582036
#>  [37] 0.436715780 0.742756585 0.895057744 0.502849571 0.824154351 0.465182313
#>  [43] 0.751904506 0.550352320 0.358251806 0.982577697 0.117904415 0.397045626
#>  [49] 0.128387701 0.895057744 0.358251806 0.868531893 0.219541329 0.715434707
#>  [55] 0.733596868 0.939113531 0.502849571 0.328011904 0.688038841 0.397045626
#>  [61] 0.788404763 0.239180480 0.484064839 0.521812158 0.642582036 0.669732849
#>  [67] 0.751904506 0.633264364 0.550352320 0.436715780 0.596147925 0.886187929
#>  [73] 0.199693490 0.149030827 0.278347142 0.249183405 0.358251806 0.180436640
#>  [79] 0.850772126 0.249183405 0.097054704 0.278347142 0.397045626 0.465182313
#>  [85] 0.550352320 0.586820971 0.484064839 0.358251806 0.605471136 0.128387701
#>  [91] 0.044711915 0.642582036 0.921555064 0.973868870 0.859651814 0.022339832
#>  [97] 0.956535343 0.180436640 0.328011904 0.715434707 0.068232704 0.068232704
#> [103] 0.956535343 0.249183405 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    37    88    97  97.1   128   155    61   139   187   159   181    69    39 
#> 12.52 18.37 19.14 19.14 20.35 13.08 10.12 21.49  9.92 10.55 16.46 23.23 15.59 
#>    23    40   113    45    24   125   150   167   106   127   179   154    92 
#> 16.92 18.00 22.86 17.42 23.89 15.65 20.33 15.55 16.67  3.53 18.63 12.63 22.92 
#>    85    60    14   123    86 123.1   197    41   101    79  40.1    96    93 
#> 16.44 13.15 12.89 13.00 23.81 13.00 21.60 18.02  9.97 16.23 18.00 14.54 10.33 
#>    30 154.1   134    81 106.1   108    77    63    51    15  93.1 108.1 159.1 
#> 17.43 12.63 17.81 14.06 16.67 18.29  7.27 22.77 18.23 22.68 10.33 18.29 10.55 
#> 150.1   157   133 187.1  30.1     8     6  51.1 123.2   170   117  45.1  79.1 
#> 20.33 15.10 14.65  9.92 17.43 18.43 15.64 18.23 13.00 19.54 17.46 17.42 16.23 
#>    26  81.1     5 106.2  40.2   130    52    68   136    76    58 108.2   153 
#> 15.77 14.06 16.43 16.67 18.00 16.47 10.42 20.62 21.83 19.22 19.34 18.29 21.33 
#>    42    55 113.1  76.1  51.2 134.1 106.3   171 117.1 108.3 181.1  15.1   129 
#> 12.43 19.34 22.86 19.22 18.23 17.81 16.67 16.57 17.46 18.29 16.46 22.68 23.41 
#>  79.2 101.1    16    43  86.1   183 153.1   8.1 157.1  92.1  92.2 183.1  58.1 
#> 16.23  9.97  8.71 12.10 23.81  9.24 21.33 18.43 15.10 22.92 22.92  9.24 19.34 
#>   102   200    94   116   141    75    47   185    35   182 141.1  47.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21    87   161    27   119   109   131    74    46   151   118   156   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   132    20    48 119.1 131.1   122  75.1     1   135    53 132.1   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    95   138  74.1 135.1   174   142   160   1.2   112 131.2  46.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 198.1   147    44    83   103     2 161.1   172 174.1   165    22    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    33 142.1  33.1    65 122.1    64 135.2  12.1    80 200.1  27.1 122.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   193  38.1  20.1   196 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01189639                0.75851954                0.71488521 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.371984354             0.002112717             0.342603533 
#>   grade_iii, Cure model 
#>             0.983823925 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 159   10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 113   22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 89.1  11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 78    23.88      1  43        0         0
#> 15    22.68      1  48        0         0
#> 181   16.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 113.1 22.86      1  34        0         0
#> 99    21.19      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 175   21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 110   17.56      1  65        0         1
#> 179   18.63      1  42        0         0
#> 58    19.34      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 113.2 22.86      1  34        0         0
#> 37    12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 30    17.43      1  78        0         0
#> 158   20.14      1  74        1         0
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 49    12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 81    14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 150.1 20.33      1  48        0         0
#> 140   12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 30.1  17.43      1  78        0         0
#> 158.1 20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 127.1  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 110.1 17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 113.3 22.86      1  34        0         0
#> 108.1 18.29      1  39        0         1
#> 79    16.23      1  54        1         0
#> 130   16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 158.2 20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 113.4 22.86      1  34        0         0
#> 190   20.81      1  42        1         0
#> 125.1 15.65      1  67        1         0
#> 97.1  19.14      1  65        0         1
#> 170   19.54      1  43        0         1
#> 110.2 17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 78.1  23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 107.1 11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 107.2 11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 136   21.83      1  43        0         1
#> 16     8.71      1  71        0         1
#> 58.1  19.34      1  39        0         0
#> 108.2 18.29      1  39        0         1
#> 93    10.33      1  52        0         1
#> 4.1   17.64      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 45    17.42      1  54        0         1
#> 170.2 19.54      1  43        0         1
#> 5.1   16.43      1  51        0         1
#> 58.2  19.34      1  39        0         0
#> 179.1 18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 111.1 17.45      1  47        0         1
#> 76    19.22      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 42.2  12.43      1  49        0         1
#> 69    23.23      1  25        0         1
#> 194.1 22.40      1  38        0         1
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 132   24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 148   24.00      0  61        1         0
#> 112.1 24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 126   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 95    24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 132.1 24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 53    24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 142   24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 82.1  24.00      0  34        0         0
#> 104.1 24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 31.1  24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 104.2 24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 146.1 24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 178.1 24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 120.1 24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 95.1  24.00      0  68        0         1
#> 80.2  24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 80.3  24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 44.1  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 9.1   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 21.1  24.00      0  47        0         0
#> 28.1  24.00      0  67        1         0
#> 143   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 104.3 24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 72.1  24.00      0  40        0         1
#> 147.1 24.00      0  76        1         0
#> 119.2 24.00      0  17        0         0
#> 126.1 24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.372          NA        NA      NA
#> 2 age, Cure model          0.00211        NA        NA      NA
#> 3 grade_ii, Cure model     0.343          NA        NA      NA
#> 4 grade_iii, Cure model    0.984          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0119        NA        NA      NA
#> 2 grade_ii, Survival model    0.759         NA        NA      NA
#> 3 grade_iii, Survival model   0.715         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.371984          0.002113          0.342604          0.983824  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 252.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.371984354      0.002112717      0.342603533      0.983823925 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01189639       0.75851954       0.71488521 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.81574985 0.96807863 0.91841583 0.79015567 0.98757618 0.75035925
#>   [7] 0.65997635 0.89109137 0.89910493 0.90305921 0.92222095 0.32311811
#>  [13] 0.61628243 0.97794069 0.85775547 0.45738085 0.17638016 0.43873022
#>  [19] 0.83033131 0.94067604 0.88706586 0.94067604 0.72487493 0.58552779
#>  [25] 0.87893451 0.32311811 0.56259863 0.90305921 0.91460498 0.69024844
#>  [31] 0.83504803 0.52107016 0.41944861 0.86213730 0.99386651 0.77408101
#>  [37] 0.73768841 0.69024844 0.32311811 0.93704925 0.47549361 0.80054471
#>  [43] 0.63568051 0.83504803 0.50599027 0.92965608 0.95119209 0.88302662
#>  [49] 0.91075637 0.84431792 0.61628243 0.93337687 0.56259863 0.80054471
#>  [55] 0.63568051 0.26512444 0.54973567 0.99386651 0.87055951 0.77408101
#>  [61] 0.97137999 0.32311811 0.75035925 0.85331620 0.82554689 0.92222095
#>  [67] 0.09334734 0.87476880 0.63568051 0.76826849 0.32311811 0.60626102
#>  [73] 0.86213730 0.72487493 0.66809871 0.77408101 0.82068241 0.17638016
#>  [79] 0.95811670 0.66809871 0.95811670 0.95811670 0.98118249 0.53586416
#>  [85] 0.98439884 0.69024844 0.75035925 0.97467576 0.95467463 0.81073158
#>  [91] 0.66809871 0.84431792 0.69024844 0.73768841 0.99073158 0.79015567
#>  [97] 0.71802243 0.58552779 0.89510685 0.94067604 0.29658361 0.47549361
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   106   159   155   111   149   108   166   180    57    13   123   113   150 
#> 16.67 10.55 13.08 17.45  8.37 18.29 19.98 14.82 14.46 14.34 13.00 22.86 20.33 
#>    61   188   169    78    15   181    42   157  42.1    97    90    29 113.1 
#> 10.12 16.16 22.41 23.88 22.68 16.46 12.43 15.10 12.43 19.14 20.94 15.45 22.86 
#>    99  13.1    60    55   192   175    63   125   127   110   179    58 113.2 
#> 21.19 14.34 13.15 19.34 16.44 21.91 22.77 15.65  3.53 17.56 18.63 19.34 22.86 
#>    37   194    30   158    85    66    14    49    18    81     5 150.1   140 
#> 12.52 22.40 17.43 20.14 16.44 22.13 12.89 12.19 15.21 14.06 16.43 20.33 12.68 
#>    36  30.1 158.1   129   153 127.1     6 110.1    10 113.3 108.1    79   130 
#> 21.19 17.43 20.14 23.41 21.33  3.53 15.64 17.56 10.53 22.86 18.29 16.23 16.47 
#> 123.1    24    39 158.2    51 113.4   190 125.1  97.1   170 110.2   171  78.1 
#> 13.00 23.89 15.59 20.14 18.23 22.86 20.81 15.65 19.14 19.54 17.56 16.57 23.88 
#>   107 170.1 107.1 107.2   187   136    16  58.1 108.2    93    43    45 170.2 
#> 11.18 19.54 11.18 11.18  9.92 21.83  8.71 19.34 18.29 10.33 12.10 17.42 19.54 
#>   5.1  58.2 179.1    70 111.1    76  90.1   133  42.2    69 194.1    80    28 
#> 16.43 19.34 18.63  7.38 17.45 19.22 20.94 14.65 12.43 23.23 22.40 24.00 24.00 
#>   132    98   160   112   148 112.1   182   126    34   156   173   147    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    95   104 132.1   151   102   120   146    31     2    82    53   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   109  82.1 104.1   122    19    21   200     9   161   116  31.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   191 104.2  80.1    47   135   176   185 173.1    20   178    94 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 178.1    67 200.1 120.1    64    72  95.1  80.2   138  80.3    71 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1  44.1   165 182.1   9.1    87  21.1  28.1   143    17    84  20.1  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.3   103  72.1 147.1 119.2 126.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001570814               1.400902163               0.500382486 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.64123617             -0.01602564              0.01938245 
#>   grade_iii, Cure model 
#>              1.16750045 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 93    10.33      1  52        0         1
#> 150   20.33      1  48        0         0
#> 171   16.57      1  41        0         1
#> 150.1 20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 69.1  23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 157   15.10      1  47        0         0
#> 30    17.43      1  78        0         0
#> 106   16.67      1  49        1         0
#> 66    22.13      1  53        0         0
#> 18    15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 108   18.29      1  39        0         1
#> 6     15.64      1  39        0         0
#> 123   13.00      1  44        1         0
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 125   15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 13    14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 164   23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 189   10.51      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 76.2  19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 24    23.89      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 183    9.24      1  67        1         0
#> 189.1 10.51      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 85    16.44      1  36        0         0
#> 60    13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 13.1  14.34      1  54        0         1
#> 41.1  18.02      1  40        1         0
#> 68.1  20.62      1  44        0         0
#> 169   22.41      1  46        0         0
#> 170   19.54      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 179.2 18.63      1  42        0         0
#> 13.2  14.34      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 123.1 13.00      1  44        1         0
#> 50    10.02      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 181   16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 68.3  20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 55.1  19.34      1  69        0         1
#> 107   11.18      1  54        1         0
#> 199   19.81      1  NA        0         1
#> 56.2  12.21      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 93.1  10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 170.1 19.54      1  43        0         1
#> 70.1   7.38      1  30        1         0
#> 128   20.35      1  35        0         1
#> 61.1  10.12      1  36        0         1
#> 125.1 15.65      1  67        1         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 166.1 19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 96.1  14.54      1  33        0         1
#> 106.1 16.67      1  49        1         0
#> 136   21.83      1  43        0         1
#> 78.1  23.88      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 150.2 20.33      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 78.2  23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 188   16.16      1  46        0         1
#> 88.1  18.37      1  47        0         0
#> 55.2  19.34      1  69        0         1
#> 6.1   15.64      1  39        0         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 156.1 24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 122.1 24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 185.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 122.2 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 34.1  24.00      0  36        0         0
#> 138   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 62.1  24.00      0  71        0         0
#> 22.1  24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 156.2 24.00      0  50        1         0
#> 122.3 24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 200.1 24.00      0  64        0         0
#> 151.2 24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 64    24.00      0  43        0         0
#> 162.2 24.00      0  51        0         0
#> 62.2  24.00      0  71        0         0
#> 62.3  24.00      0  71        0         0
#> 121.2 24.00      0  57        1         0
#> 151.3 24.00      0  42        0         0
#> 3.1   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 19    24.00      0  57        0         1
#> 120   24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 165.1 24.00      0  47        0         0
#> 122.4 24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 33.1  24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 200.2 24.00      0  64        0         0
#> 119.1 24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 1.1   24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.641         NA        NA      NA
#> 2 age, Cure model          -0.0160        NA        NA      NA
#> 3 grade_ii, Cure model      0.0194        NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00157        NA        NA      NA
#> 2 grade_ii, Survival model   1.40           NA        NA      NA
#> 3 grade_iii, Survival model  0.500          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.64124          -0.01603           0.01938           1.16750  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 251.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.64123617      -0.01602564       0.01938245       1.16750045 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001570814      1.400902163      0.500382486 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90797518 0.96398359 0.91373561 0.34635647 0.65173417 0.34635647
#>   [7] 0.50437128 0.56895786 0.89055742 0.11060296 0.11060296 0.94772456
#>  [13] 0.69334634 0.61620324 0.93647752 0.70143267 0.04098364 0.76059844
#>  [19] 0.60693361 0.63465344 0.20379680 0.75359475 0.90221664 0.26276881
#>  [25] 0.42879281 0.55813121 0.73172770 0.84217576 0.83565779 0.59768027
#>  [31] 0.86674415 0.66026970 0.38158787 0.71706607 0.15629624 0.80238148
#>  [37] 0.47241458 0.09128652 0.93647752 0.18841302 0.27535864 0.74640681
#>  [43] 0.97991397 0.79546769 0.99010200 0.58835010 0.97464902 0.92514560
#>  [49] 0.47241458 0.47241458 0.28765362 0.78163595 0.01417762 0.50437128
#>  [55] 0.95860769 0.86674415 0.67717001 0.82267671 0.67717001 0.80238148
#>  [61] 0.56895786 0.28765362 0.17230196 0.40556194 0.61620324 0.50437128
#>  [67] 0.80238148 0.28765362 0.84217576 0.14040999 0.53645842 0.77461862
#>  [73] 0.66874851 0.21927442 0.28765362 0.24983602 0.42879281 0.89643875
#>  [79] 0.86674415 0.96398359 0.99010200 0.91373561 0.76760672 0.40556194
#>  [85] 0.97991397 0.33428381 0.92514560 0.71706607 0.88465666 0.42879281
#>  [91] 0.38158787 0.85462611 0.78163595 0.63465344 0.23482415 0.04098364
#>  [97] 0.82267671 0.34635647 0.94772456 0.04098364 0.86074294 0.70927238
#> [103] 0.53645842 0.42879281 0.73172770 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    10    16    93   150   171 150.1   179    41    43    69  69.1   187     5 
#> 10.53  8.71 10.33 20.33 16.57 20.33 18.63 18.02 12.10 23.23 23.23  9.92 16.43 
#>    23   101    79    78   157    30   106    66    18   159    99    55   108 
#> 16.92  9.97 16.23 23.88 15.10 17.43 16.67 22.13 15.21 10.55 21.19 19.34 18.29 
#>     6   123   155   111    56   130   166   125    15    13    76   164 101.1 
#> 15.64 13.00 13.08 17.45 12.21 16.47 19.98 15.65 22.68 14.34 19.22 23.60  9.97 
#>   194    90    29    70    57    25    40   149    61  76.1  76.2    68    96 
#> 22.40 20.94 15.45  7.38 14.46  6.32 18.00  8.37 10.12 19.22 19.22 20.62 14.54 
#>    24 179.1   183  56.1    85    60   192  13.1  41.1  68.1   169   170  23.1 
#> 23.89 18.63  9.24 12.21 16.44 13.15 16.44 14.34 18.02 20.62 22.41 19.54 16.92 
#> 179.2  13.2  68.2 123.1   113    88   133   181   175  68.3   139  55.1   107 
#> 18.63 14.34 20.62 13.00 22.86 18.37 14.65 16.46 21.91 20.62 21.49 19.34 11.18 
#>  56.2  16.1  25.1  93.1   180 170.1  70.1   128  61.1 125.1    49    58 166.1 
#> 12.21  8.71  6.32 10.33 14.82 19.54  7.38 20.35 10.12 15.65 12.19 19.34 19.98 
#>   154  96.1 106.1   136  78.1  60.1 150.2 187.1  78.2    37   188  88.1  55.2 
#> 12.63 14.54 16.67 21.83 23.88 13.15 20.33  9.92 23.88 12.52 16.16 18.37 19.34 
#>   6.1   126     1   193   198   121    94     2   142     3    65   160 121.1 
#> 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   185    21    34   178   122     9 193.1   196    27   119   151    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   156   176   165   116 156.1    22   186   137  21.1 122.1   161   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1    71 122.2   109    95   131   162  95.1  34.1   138  62.1  22.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2 122.3   146 162.1 161.1    20 200.1 151.2    47   182    64 162.2  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.3 121.2 151.3   3.1 160.1    82    19   120    17 135.1 165.1 122.4    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    67   9.1 146.1    12 200.2 119.1   104    11   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001536419               0.904944617               0.274741585 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.491203276             0.005982681            -0.134505061 
#>   grade_iii, Cure model 
#>             1.305204407 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 166   19.98      1  48        0         0
#> 99    21.19      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 18    15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 30    17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 5     16.43      1  51        0         1
#> 111   17.45      1  47        0         1
#> 97    19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 164   23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 56.1  12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 4.1   17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 189.1 10.51      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 140   12.68      1  59        1         0
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 155   13.08      1  26        0         0
#> 105   19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 41    18.02      1  40        1         0
#> 56.2  12.21      1  60        0         0
#> 70     7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 127.1  3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 50    10.02      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 128   20.35      1  35        0         1
#> 66.1  22.13      1  53        0         0
#> 189.2 10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 128.1 20.35      1  35        0         1
#> 179   18.63      1  42        0         0
#> 88    18.37      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 99.1  21.19      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 114.1 13.68      1  NA        0         0
#> 99.2  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 18.1  15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 175   21.91      1  43        0         0
#> 36    21.19      1  48        0         1
#> 188.1 16.16      1  46        0         1
#> 101.2  9.97      1  10        0         1
#> 88.1  18.37      1  47        0         0
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 188.2 16.16      1  46        0         1
#> 90    20.94      1  50        0         1
#> 180.1 14.82      1  37        0         0
#> 36.1  21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 49.1  12.19      1  48        1         0
#> 15.1  22.68      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 189.3 10.51      1  NA        1         0
#> 18.2  15.21      1  49        1         0
#> 164.1 23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 158   20.14      1  74        1         0
#> 107.1 11.18      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 199.1 19.81      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 39    15.59      1  37        0         1
#> 154   12.63      1  20        1         0
#> 42.1  12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 26.2  15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 39.1  15.59      1  37        0         1
#> 136.1 21.83      1  43        0         1
#> 99.3  21.19      1  38        0         1
#> 90.1  20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 190   20.81      1  42        1         0
#> 6.1   15.64      1  39        0         0
#> 99.4  21.19      1  38        0         1
#> 20    24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 7     24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 147   24.00      0  76        1         0
#> 138   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 138.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 142.1 24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 72    24.00      0  40        0         1
#> 65.1  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 19.1  24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 142.2 24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 161.1 24.00      0  45        0         0
#> 20.1  24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 20.2  24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 27.1  24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 64    24.00      0  43        0         0
#> 138.2 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 73.1  24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 191.1 24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 80.2  24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 178.1 24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 142.3 24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 64.1  24.00      0  43        0         0
#> 131.1 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 109.1 24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 82.1  24.00      0  34        0         0
#> 11.1  24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.491          NA        NA      NA
#> 2 age, Cure model          0.00598        NA        NA      NA
#> 3 grade_ii, Cure model    -0.135          NA        NA      NA
#> 4 grade_iii, Cure model    1.31           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00154        NA        NA      NA
#> 2 grade_ii, Survival model   0.905          NA        NA      NA
#> 3 grade_iii, Survival model  0.275          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.491203          0.005983         -0.134505          1.305204  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    253.7 
#> Residual Deviance: 235.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.491203276      0.005982681     -0.134505061      1.305204407 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001536419      0.904944617      0.274741585 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97823651 0.77548589 0.93404170 0.85695206 0.13702052 0.40007567
#>   [7] 0.25174140 0.08163559 0.35760344 0.17429089 0.73436621 0.53352297
#>  [13] 0.18747805 0.61997397 0.93404170 0.44152805 0.69056350 0.56272768
#>  [19] 0.63789899 0.61059757 0.55302948 0.46200909 0.98552294 0.03558108
#>  [25] 0.95624810 0.85695206 0.59157801 0.54329295 0.61997397 0.91133117
#>  [31] 0.81684719 0.13702052 0.13702052 0.80032607 0.41048650 0.44152805
#>  [37] 0.89615789 0.92652680 0.52350202 0.85695206 0.96363179 0.75897215
#>  [43] 0.98552294 0.22653193 0.88064985 0.01232577 0.36850613 0.18747805
#>  [49] 0.72569092 0.36850613 0.47232152 0.48264806 0.77548589 0.25174140
#>  [55] 0.25174140 0.06540106 0.97093930 0.73436621 0.66434635 0.21320288
#>  [61] 0.25174140 0.63789899 0.93404170 0.48264806 0.84111857 0.11142889
#>  [67] 0.63789899 0.32439373 0.75897215 0.25174140 0.91893574 0.88064985
#>  [73] 0.11142889 0.66434635 0.41048650 0.09804668 0.57244480 0.73436621
#>  [79] 0.03558108 0.79202919 0.38968408 0.89615789 0.80032607 0.50314074
#>  [85] 0.50314074 0.43113538 0.70818022 0.82504515 0.84111857 0.60118983
#>  [91] 0.66434635 0.57244480 0.70818022 0.22653193 0.25174140 0.32439373
#>  [97] 0.83313088 0.34672245 0.69056350 0.25174140 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    91   133   101    56   169   166    99   113    68   194    18    40    66 
#>  5.33 14.65  9.97 12.21 22.41 19.98 21.19 22.86 20.62 22.40 15.21 18.00 22.13 
#>    79 101.1    55     6    30   188     5   111    97   127   164   187  56.1 
#> 16.23  9.97 19.34 15.64 17.43 16.16 16.43 17.45 19.14  3.53 23.60  9.92 12.21 
#>   130   110  79.1   159   140 169.1 169.2   155   105    58   107   145    41 
#> 16.47 17.56 16.23 10.55 12.68 22.41 22.41 13.08 19.75 19.34 11.18 10.07 18.02 
#>  56.2    70   180 127.1   136    49    24   128  66.1   167 128.1   179    88 
#> 12.21  7.38 14.82  3.53 21.83 12.19 23.89 20.35 22.13 15.55 20.35 18.63 18.37 
#> 133.1  99.1  99.2    92    77  18.1    26   175    36 188.1 101.2  88.1    42 
#> 14.65 21.19 21.19 22.92  7.27 15.21 15.77 21.91 21.19 16.16  9.97 18.37 12.43 
#>    15 188.2    90 180.1  36.1    52  49.1  15.1  26.1 105.1    63    45  18.2 
#> 22.68 16.16 20.94 14.82 21.19 10.42 12.19 22.68 15.77 19.75 22.77 17.42 15.21 
#> 164.1    13   158 107.1 155.1    51  51.1   170    39   154  42.1   192  26.2 
#> 23.60 14.34 20.14 11.18 13.08 18.23 18.23 19.54 15.59 12.63 12.43 16.44 15.77 
#>  45.1  39.1 136.1  99.3  90.1    37   190   6.1  99.4    20    33    84     3 
#> 17.42 15.59 21.83 21.19 20.94 12.52 20.81 15.64 21.19 24.00 24.00 24.00 24.00 
#>   160    48    87   191    94     7    44    12   109   122   104    83   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    19     9   174   120 138.1    71   102   178   142 142.1    65   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    72  65.1   118   161   148  19.1   185    27 142.2    80 161.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    31    82   196   176  20.2    67  27.1    98    64 138.2    17   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172  80.1    54   126 191.1  44.1  80.2 174.1 178.1   165 142.3   131  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2   162    11 165.1 185.1    75    46  64.1 131.1    34 109.1   121  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1   173 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001975163               0.445923569              -0.437121692 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.75163293              0.01240743              0.55758189 
#>   grade_iii, Cure model 
#>              0.59720778 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 85    16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 45    17.42      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 199   19.81      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 153.1 21.33      1  55        1         0
#> 150   20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 99    21.19      1  38        0         1
#> 90    20.94      1  50        0         1
#> 106   16.67      1  49        1         0
#> 14    12.89      1  21        0         0
#> 89.1  11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 18.1  15.21      1  49        1         0
#> 45.1  17.42      1  54        0         1
#> 8     18.43      1  32        0         0
#> 42    12.43      1  49        0         1
#> 158.1 20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 79.1  16.23      1  54        1         0
#> 125   15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 179   18.63      1  42        0         0
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 88    18.37      1  47        0         0
#> 69    23.23      1  25        0         1
#> 30.1  17.43      1  78        0         0
#> 158.2 20.14      1  74        1         0
#> 170   19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 49    12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 18.2  15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 25.1   6.32      1  34        1         0
#> 69.1  23.23      1  25        0         1
#> 158.3 20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 15    22.68      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 26    15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 190.1 20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 127    3.53      1  62        0         1
#> 69.2  23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 107   11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 167.1 15.55      1  56        1         0
#> 32.1  20.90      1  37        1         0
#> 150.1 20.33      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 18.3  15.21      1  49        1         0
#> 194.1 22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 180   14.82      1  37        0         0
#> 18.4  15.21      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 15.1  22.68      1  48        0         0
#> 10    10.53      1  34        0         0
#> 69.3  23.23      1  25        0         1
#> 76.1  19.22      1  54        0         1
#> 111   17.45      1  47        0         1
#> 18.5  15.21      1  49        1         0
#> 18.6  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 14.1  12.89      1  21        0         0
#> 199.1 19.81      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 18.7  15.21      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 166   19.98      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 40    18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 91.2   5.33      1  61        0         1
#> 183.1  9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 155   13.08      1  26        0         0
#> 169   22.41      1  46        0         0
#> 123.1 13.00      1  44        1         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 95.1  24.00      0  68        0         1
#> 138.1 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 173.2 24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 122.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 132.1 24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 174.1 24.00      0  49        1         0
#> 83    24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 7.1   24.00      0  37        1         0
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 142.1 24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 83.1  24.00      0   6        0         0
#> 120.1 24.00      0  68        0         1
#> 87.1  24.00      0  27        0         0
#> 19    24.00      0  57        0         1
#> 144   24.00      0  28        0         1
#> 74    24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 191.1 24.00      0  60        0         1
#> 112   24.00      0  61        0         0
#> 75.1  24.00      0  21        1         0
#> 112.1 24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 132.2 24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 138.2 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 102.1 24.00      0  49        0         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 151.1 24.00      0  42        0         0
#> 33.2  24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 1.1   24.00      0  23        1         0
#> 87.2  24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 27.1  24.00      0  63        1         0
#> 7.2   24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 84.1  24.00      0  39        0         1
#> 9     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 83.2  24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 20.2  24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.752         NA        NA      NA
#> 2 age, Cure model           0.0124        NA        NA      NA
#> 3 grade_ii, Cure model      0.558         NA        NA      NA
#> 4 grade_iii, Cure model     0.597         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00198        NA        NA      NA
#> 2 grade_ii, Survival model   0.446          NA        NA      NA
#> 3 grade_iii, Survival model -0.437          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.75163           0.01241           0.55758           0.59721  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.75163293       0.01240743       0.55758189       0.59720778 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001975163      0.445923569     -0.437121692 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3223429793 0.4808318536 0.9446682444 0.6644832010 0.5421177302
#>   [6] 0.0955975302 0.9629795141 0.2940673305 0.5830667254 0.9168243470
#>  [11] 0.8321678586 0.5009740208 0.1285590093 0.3319641991 0.2000163317
#>  [16] 0.2940673305 0.0052082792 0.1285590093 0.2292969668 0.3513935209
#>  [21] 0.4606853350 0.2488856183 0.4408887286 0.1798169974 0.1481520887
#>  [26] 0.1688445478 0.5318316470 0.8134197831 0.5627972455 0.6644832010
#>  [31] 0.5009740208 0.3713626853 0.8510104710 0.2488856183 0.0650730491
#>  [36] 0.5627972455 0.6036293613 0.8885794535 0.3613671140 0.8416100261
#>  [41] 0.0848947912 0.3813747776 0.0126008467 0.4808318536 0.2488856183
#>  [46] 0.3127430228 0.7470671481 0.5214617679 0.8604540708 0.6644832010
#>  [51] 0.2193630102 0.9446682444 0.0126008467 0.2488856183 0.7662603592
#>  [56] 0.0383854633 0.1481520887 0.5933111907 0.1063999206 0.2000163317
#>  [61] 0.4113949139 0.9906512048 0.0126008467 0.6138829811 0.6342690809
#>  [66] 0.8698542741 0.9074263756 0.6543975256 0.6342690809 0.1798169974
#>  [71] 0.2292969668 0.6138829811 0.6644832010 0.0650730491 0.7566388602
#>  [76] 0.9353845416 0.7375084779 0.6644832010 0.4113949139 0.8979847809
#>  [81] 0.0383854633 0.8792136256 0.0126008467 0.3319641991 0.4707142540
#>  [86] 0.6644832010 0.6644832010 0.0009176679 0.8134197831 0.3813747776
#>  [91] 0.6644832010 0.9629795141 0.4012275269 0.2846444975 0.7662603592
#>  [96] 0.4310532699 0.5524172320 0.1176681947 0.7946892662 0.9629795141
#> [101] 0.9168243470 0.4507400867 0.7851706968 0.0555543739 0.7946892662
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    58    30    25    18    85   175    91   105   100   183   177    45   153 
#> 19.34 17.43  6.32 15.21 16.44 21.91  5.33 19.75 16.07  9.24 12.53 17.42 21.33 
#>    76   190 105.1   164 153.1   150    97   117   158   184    32    99    90 
#> 19.22 20.81 19.75 23.60 21.33 20.33 19.14 17.46 20.14 17.77 20.90 21.19 20.94 
#>   106    14    79  18.1  45.1     8    42 158.1   194  79.1   125    61   179 
#> 16.67 12.89 16.23 15.21 17.42 18.43 12.43 20.14 22.40 16.23 15.65 10.12 18.63 
#>    37    66    88    69  30.1 158.2   170   133    23    49  18.2    68  25.1 
#> 12.52 22.13 18.37 23.23 17.43 20.14 19.54 14.65 16.92 12.19 15.21 20.62  6.32 
#>  69.1 158.3    60    15  99.1    26   136 190.1    41   127  69.2     6   167 
#> 23.23 20.14 13.15 22.68 21.19 15.77 21.83 20.81 18.02  3.53 23.23 15.64 15.55 
#>   107   187    29 167.1  32.1 150.1   6.1  18.3 194.1    57   149   180  18.4 
#> 11.18  9.92 15.45 15.55 20.90 20.33 15.64 15.21 22.40 14.46  8.37 14.82 15.21 
#>  41.1   101  15.1    10  69.3  76.1   111  18.5  18.6    86  14.1  88.1  18.7 
#> 18.02  9.97 22.68 10.53 23.23 19.22 17.45 15.21 15.21 23.81 12.89 18.37 15.21 
#>  91.1    51   166  60.1    40     5   197   123  91.2 183.1   110   155   169 
#>  5.33 18.23 19.98 13.15 18.00 16.43 21.60 13.00  5.33  9.24 17.56 13.08 22.41 
#> 123.1   138    33    95   173    17   151  95.1 138.1 173.1   172    82   142 
#> 13.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 173.2   122     7    27   132 122.1   120     3  53.1   174 132.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    87 174.1    83    20   163   147   178   191   7.1   116    75   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1   103 142.1   156    84   102  83.1 120.1  87.1    19   144    74    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   112  75.1 112.1   185    21 132.2    64 138.2  20.1 102.1    34     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 151.1  33.2   165   200   1.1  87.2   137    31  27.1   7.2   196   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1     9   198    12  83.2   135  20.2   131  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00385805                0.73159511                0.29847344 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.584966916             0.007742433             0.111886777 
#>   grade_iii, Cure model 
#>             1.108402253 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 184   17.77      1  38        0         0
#> 77     7.27      1  67        0         1
#> 107   11.18      1  54        1         0
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 134   17.81      1  47        1         0
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 90    20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 41    18.02      1  40        1         0
#> 13    14.34      1  54        0         1
#> 130   16.47      1  53        0         1
#> 13.1  14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 15    22.68      1  48        0         0
#> 57    14.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 183    9.24      1  67        1         0
#> 158   20.14      1  74        1         0
#> 134.1 17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 79.2  16.23      1  54        1         0
#> 57.1  14.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 117   17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 79.3  16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 127    3.53      1  62        0         1
#> 88    18.37      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 14    12.89      1  21        0         0
#> 133.1 14.65      1  57        0         0
#> 16     8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 181   16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 45    17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 158.1 20.14      1  74        1         0
#> 125.2 15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 49    12.19      1  48        1         0
#> 157   15.10      1  47        0         0
#> 39    15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 117.2 17.46      1  26        0         1
#> 188   16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 78    23.88      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 177.1 12.53      1  75        0         0
#> 101    9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 36.1  21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 32.1  20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 23.1  16.92      1  61        0         0
#> 90.1  20.94      1  50        0         1
#> 167   15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 15.1  22.68      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 114.1 13.68      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 79.4  16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 8.1   18.43      1  32        0         0
#> 70     7.38      1  30        1         0
#> 66.1  22.13      1  53        0         0
#> 79.5  16.23      1  54        1         0
#> 32.2  20.90      1  37        1         0
#> 164   23.60      1  76        0         1
#> 97    19.14      1  65        0         1
#> 113.1 22.86      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 116   24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 142.1 24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 186   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 64.1  24.00      0  43        0         0
#> 64.2  24.00      0  43        0         0
#> 156   24.00      0  50        1         0
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 163.2 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 200   24.00      0  64        0         0
#> 156.1 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 144.1 24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 200.1 24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 138.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 121.1 24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 33.2  24.00      0  53        0         0
#> 156.2 24.00      0  50        1         0
#> 122.1 24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 65.2  24.00      0  57        1         0
#> 122.2 24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 98.1  24.00      0  34        1         0
#> 44.1  24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 152.1 24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 160.2 24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 121.2 24.00      0  57        1         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.585          NA        NA      NA
#> 2 age, Cure model          0.00774        NA        NA      NA
#> 3 grade_ii, Cure model     0.112          NA        NA      NA
#> 4 grade_iii, Cure model    1.11           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00386        NA        NA      NA
#> 2 grade_ii, Survival model   0.732          NA        NA      NA
#> 3 grade_iii, Survival model  0.298          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.584967          0.007742          0.111887          1.108402  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.584966916      0.007742433      0.111886777      1.108402253 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00385805       0.73159511       0.29847344 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93293599 0.68918153 0.70444847 0.58469508 0.97271607 0.90938446
#>   [7] 0.75901281 0.15589500 0.70444847 0.75901281 0.56790867 0.41262316
#>  [13] 0.81717037 0.34136740 0.59313015 0.65783585 0.62568990 0.28825799
#>  [19] 0.06637132 0.55002207 0.84848522 0.66579616 0.84848522 0.79811209
#>  [25] 0.36769157 0.11652842 0.19020751 0.83605630 0.45432325 0.28825799
#>  [31] 0.91530777 0.95023868 0.43435468 0.56790867 0.82976191 0.94450898
#>  [37] 0.70444847 0.83605630 0.49362996 0.53137625 0.86696604 0.60147833
#>  [43] 0.68918153 0.13707625 0.70444847 0.24029258 0.98917678 0.51257213
#>  [49] 0.60147833 0.87918102 0.81717037 0.95591054 0.27205804 0.64190064
#>  [55] 0.67369475 0.96155652 0.86079513 0.90340035 0.63382947 0.88528268
#>  [61] 0.43435468 0.75901281 0.55905946 0.89738815 0.80447405 0.78512910
#>  [67] 0.47426292 0.60147833 0.74522010 0.40148968 0.02844951 0.67369475
#>  [73] 0.51257213 0.41262316 0.88528268 0.93872963 0.92120686 0.28825799
#>  [79] 0.75213632 0.28825799 0.22332374 0.36769157 0.54076798 0.64190064
#>  [85] 0.34136740 0.79166263 0.81082602 0.98370757 0.19020751 0.97271607
#>  [91] 0.87307579 0.70444847 0.92708160 0.49362996 0.96715776 0.24029258
#>  [97] 0.70444847 0.36769157 0.09408069 0.48401734 0.15589500 0.98917678
#> [103] 0.46437429 0.77856528 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   145     5    79   184    77   107   125   113  79.1 125.1   134   150   133 
#> 10.07 16.43 16.23 17.77  7.27 11.18 15.65 22.86 16.23 15.65 17.81 20.33 14.65 
#>    90   110   171    30    99    86    41    13   130  13.1    29    32    69 
#> 20.94 17.56 16.57 17.43 21.19 23.81 18.02 14.34 16.47 14.34 15.45 20.90 23.23 
#>    15    57   166  99.1   159   183   158 134.1    96   187  79.2  57.1     8 
#> 22.68 14.46 19.98 21.19 10.55  9.24 20.14 17.81 14.54  9.92 16.23 14.46 18.43 
#>   108    60   117   5.1    92  79.3    66   127    88 117.1    14 133.1    16 
#> 18.29 13.15 17.46 16.43 22.92 16.23 22.13  3.53 18.37 17.46 12.89 14.65  8.71 
#>   175    23   181   149    81    43    45   177 158.1 125.2    40    49   157 
#> 21.91 16.92 16.46  8.37 14.06 12.10 17.42 12.53 20.14 15.65 18.00 12.19 15.10 
#>    39    76 117.2   188   190    78 181.1  88.1 150.1 177.1   101    93    36 
#> 15.59 19.22 17.46 16.16 20.81 23.88 16.46 18.37 20.33 12.53  9.97 10.33 21.19 
#>    26  36.1   169  32.1    51  23.1  90.1   167   180    25  15.1  77.1   155 
#> 15.77 21.19 22.41 20.90 18.23 16.92 20.94 15.55 14.82  6.32 22.68  7.27 13.08 
#>  79.4    61   8.1    70  66.1  79.5  32.2   164    97 113.1 127.1    55     6 
#> 16.23 10.12 18.43  7.38 22.13 16.23 20.90 23.60 19.14 22.86  3.53 19.34 15.64 
#>   116    44   142    98    65 142.1   104    33    64   186    48   144  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2   156    75   163   162 163.1   160   174 163.2   176    67   120 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200 156.1   148 160.1    28   121   182   146   112   103 144.1    82    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   137   132    74   172   122   185 146.1 200.1    27    35    83   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    12 138.1   131 131.1  33.1 121.1    53  33.2 156.2 122.1   152   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1   102   196  65.2 122.2 196.1   173    20    87  98.1  44.1    19   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 182.1 160.2   191   165     3  19.1    11 121.2 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002820142               0.491720951               0.316138756 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.40715528              0.01036635             -0.36477484 
#>   grade_iii, Cure model 
#>              0.69912339 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 86    23.81      1  58        0         1
#> 92    22.92      1  47        0         1
#> 61    10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 145   10.07      1  65        1         0
#> 85.1  16.44      1  36        0         0
#> 45    17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 164   23.60      1  76        0         1
#> 23    16.92      1  61        0         0
#> 177.1 12.53      1  75        0         0
#> 177.2 12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 111   17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 177.3 12.53      1  75        0         0
#> 154   12.63      1  20        1         0
#> 24    23.89      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 85.2  16.44      1  36        0         0
#> 170   19.54      1  43        0         1
#> 127    3.53      1  62        0         1
#> 108.1 18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 177.4 12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 61.1  10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 49    12.19      1  48        1         0
#> 158.1 20.14      1  74        1         0
#> 96    14.54      1  33        0         1
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 8     18.43      1  32        0         0
#> 51.1  18.23      1  83        0         1
#> 139   21.49      1  63        1         0
#> 111.1 17.45      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 199   19.81      1  NA        0         1
#> 90.1  20.94      1  50        0         1
#> 171   16.57      1  41        0         1
#> 150   20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 36    21.19      1  48        0         1
#> 136   21.83      1  43        0         1
#> 127.1  3.53      1  62        0         1
#> 43.1  12.10      1  61        0         1
#> 61.2  10.12      1  36        0         1
#> 23.1  16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 192   16.44      1  31        1         0
#> 51.2  18.23      1  83        0         1
#> 68.1  20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 179.1 18.63      1  42        0         0
#> 129.1 23.41      1  53        1         0
#> 13.1  14.34      1  54        0         1
#> 60    13.15      1  38        1         0
#> 60.1  13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 157.1 15.10      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 36.1  21.19      1  48        0         1
#> 170.1 19.54      1  43        0         1
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 85.3  16.44      1  36        0         0
#> 157.2 15.10      1  47        0         0
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 77     7.27      1  67        0         1
#> 78    23.88      1  43        0         0
#> 177.5 12.53      1  75        0         0
#> 29.1  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 45.1  17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 97.1  19.14      1  65        0         1
#> 179.2 18.63      1  42        0         0
#> 42    12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 159   10.55      1  50        0         1
#> 133   14.65      1  57        0         0
#> 117.1 17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 140.1 12.68      1  59        1         0
#> 101.1  9.97      1  10        0         1
#> 55    19.34      1  69        0         1
#> 187.1  9.92      1  39        1         0
#> 43.2  12.10      1  61        0         1
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 147.1 24.00      0  76        1         0
#> 126   24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 38    24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 126.1 24.00      0  48        0         0
#> 46.1  24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 146   24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 84.2  24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 82    24.00      0  34        0         0
#> 193   24.00      0  45        0         1
#> 193.1 24.00      0  45        0         1
#> 72    24.00      0  40        0         1
#> 1.1   24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 34.1  24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 137   24.00      0  45        1         0
#> 165.2 24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 198   24.00      0  66        0         1
#> 198.1 24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 44.1  24.00      0  56        0         0
#> 19.2  24.00      0  57        0         1
#> 104   24.00      0  50        1         0
#> 62.1  24.00      0  71        0         0
#> 148.1 24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 137.1 24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 28    24.00      0  67        1         0
#> 9.1   24.00      0  31        1         0
#> 193.2 24.00      0  45        0         1
#> 62.2  24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 165.3 24.00      0  47        0         0
#> 28.1  24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 11    24.00      0  42        0         1
#> 172.1 24.00      0  41        0         0
#> 28.2  24.00      0  67        1         0
#> 162   24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 118.2 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 64    24.00      0  43        0         0
#> 165.4 24.00      0  47        0         0
#> 1.2   24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 115.1 24.00      0  NA        1         0
#> 94.1  24.00      0  51        0         1
#> 116.1 24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 118.3 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.407         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model     -0.365         NA        NA      NA
#> 4 grade_iii, Cure model     0.699         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00282        NA        NA      NA
#> 2 grade_ii, Survival model   0.492          NA        NA      NA
#> 3 grade_iii, Survival model  0.316          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.40716           0.01037          -0.36477           0.69912  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.40715528       0.01036635      -0.36477484       0.69912339 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002820142      0.491720951      0.316138756 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.645646256 0.031563182 0.091960806 0.901473727 0.402901926 0.070908806
#>   [7] 0.934611930 0.951081426 0.593661678 0.229570924 0.859581791 0.926291445
#>  [13] 0.593661678 0.531133871 0.421730571 0.783979257 0.584752750 0.057763182
#>  [19] 0.548948321 0.783979257 0.783979257 0.336669779 0.504238055 0.365137172
#>  [25] 0.783979257 0.775506997 0.005920317 0.249357380 0.170103681 0.593661678
#>  [31] 0.298506377 0.983768650 0.402901926 0.522096280 0.102903113 0.783979257
#>  [37] 0.477079453 0.269405268 0.486251535 0.901473727 0.893068161 0.851105166
#>  [43] 0.269405268 0.706614834 0.458862371 0.689017093 0.209982404 0.393270778
#>  [49] 0.421730571 0.159142206 0.504238055 0.458862371 0.209982404 0.575819140
#>  [55] 0.259356779 0.749956177 0.180789897 0.147895342 0.983768650 0.859581791
#>  [61] 0.901473727 0.548948321 0.636820265 0.663012679 0.346296938 0.593661678
#>  [67] 0.421730571 0.229570924 0.715394597 0.113953880 0.365137172 0.070908806
#>  [73] 0.715394597 0.732770928 0.732770928 0.136461925 0.663012679 0.044304636
#>  [79] 0.180789897 0.298506377 0.758554575 0.967419424 0.317595095 0.593661678
#>  [85] 0.663012679 0.125137353 0.834062539 0.975598682 0.018020469 0.783979257
#>  [91] 0.645646256 0.449499379 0.531133871 0.180789897 0.346296938 0.365137172
#>  [97] 0.842592245 0.288666968 0.884647957 0.697807726 0.486251535 0.566854654
#> [103] 0.758554575 0.934611930 0.317595095 0.951081426 0.859581791 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    29    86    92    61   108   129   101   187    85    68    43   145  85.1 
#> 15.45 23.81 22.92 10.12 18.29 23.41  9.97  9.92 16.44 20.62 12.10 10.07 16.44 
#>    45    51   177   130   164    23 177.1 177.2    76   111   179 177.3   154 
#> 17.42 18.23 12.53 16.47 23.60 16.92 12.53 12.53 19.22 17.45 18.63 12.53 12.63 
#>    24   128   153  85.2   170   127 108.1    30   113 177.4   110   158   117 
#> 23.89 20.35 21.33 16.44 19.54  3.53 18.29 17.43 22.86 12.53 17.56 20.14 17.46 
#>  61.1    93    49 158.1    96   134   180    90     8  51.1   139 111.1 134.1 
#> 10.12 10.33 12.19 20.14 14.54 17.81 14.82 20.94 18.43 18.23 21.49 17.45 17.81 
#>  90.1   171   150   123    36   136 127.1  43.1  61.2  23.1    79   157    97 
#> 20.94 16.57 20.33 13.00 21.19 21.83  3.53 12.10 10.12 16.92 16.23 15.10 19.14 
#>   192  51.2  68.1    13   169 179.1 129.1  13.1    60  60.1   175 157.1   168 
#> 16.44 18.23 20.62 14.34 22.41 18.63 23.41 14.34 13.15 13.15 21.91 15.10 23.72 
#>  36.1 170.1   140   183    58  85.3 157.2    66    37    77    78 177.5  29.1 
#> 21.19 19.54 12.68  9.24 19.34 16.44 15.10 22.13 12.52  7.27 23.88 12.53 15.45 
#>    41  45.1    99  97.1 179.2    42   166   159   133 117.1   106 140.1 101.1 
#> 18.02 17.42 21.19 19.14 18.63 12.43 19.98 10.55 14.65 17.46 16.67 12.68  9.97 
#>    55 187.1  43.2   165   160   147   118    44 147.1   126    94    34    38 
#> 19.34  9.92 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1    46    80    84    19 126.1  46.1  19.1    27   146   172  84.1  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   186     1    82   193 193.1    72   1.1   144  34.1     9    98   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2    62     7   198 198.1   148 160.1  82.1   109  44.1  19.2   104  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1   163   116   138 137.1    74    54    28   9.1 193.2  62.2    33 165.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1    71 118.1   156   131    65   102    11 172.1  28.2   162  38.1 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   185    64 165.4   1.2    75  94.1 116.1   122 118.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003708756               0.198924136               0.204613063 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.543262569             0.009818745            -0.240717945 
#>   grade_iii, Cure model 
#>             0.917130747 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 26    15.77      1  49        0         1
#> 124    9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 79.1  16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 190   20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 39    15.59      1  37        0         1
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 97    19.14      1  65        0         1
#> 128.1 20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 192   16.44      1  31        1         0
#> 77     7.27      1  67        0         1
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 97.1  19.14      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 153   21.33      1  55        1         0
#> 155.1 13.08      1  26        0         0
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 167   15.55      1  56        1         0
#> 8     18.43      1  32        0         0
#> 114.1 13.68      1  NA        0         0
#> 68.1  20.62      1  44        0         0
#> 99    21.19      1  38        0         1
#> 36.1  21.19      1  48        0         1
#> 69.1  23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 69.2  23.23      1  25        0         1
#> 197   21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 110   17.56      1  65        0         1
#> 149    8.37      1  33        1         0
#> 77.1   7.27      1  67        0         1
#> 42    12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 30    17.43      1  78        0         0
#> 159.1 10.55      1  50        0         1
#> 79.2  16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 97.2  19.14      1  65        0         1
#> 4.1   17.64      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 37    12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 150   20.33      1  48        0         0
#> 92.1  22.92      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 51    18.23      1  83        0         1
#> 111   17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 113.1 22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 8.1   18.43      1  32        0         0
#> 51.1  18.23      1  83        0         1
#> 145   10.07      1  65        1         0
#> 66    22.13      1  53        0         0
#> 166   19.98      1  48        0         0
#> 97.3  19.14      1  65        0         1
#> 188.1 16.16      1  46        0         1
#> 66.1  22.13      1  53        0         0
#> 39.1  15.59      1  37        0         1
#> 190.1 20.81      1  42        1         0
#> 188.2 16.16      1  46        0         1
#> 192.1 16.44      1  31        1         0
#> 55.1  19.34      1  69        0         1
#> 97.4  19.14      1  65        0         1
#> 179   18.63      1  42        0         0
#> 4.2   17.64      1  NA        0         1
#> 155.2 13.08      1  26        0         0
#> 133.1 14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 192.2 16.44      1  31        1         0
#> 57.1  14.46      1  45        0         1
#> 170.1 19.54      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 99.1  21.19      1  38        0         1
#> 168.1 23.72      1  70        0         0
#> 8.2   18.43      1  32        0         0
#> 179.1 18.63      1  42        0         0
#> 36.2  21.19      1  48        0         1
#> 171.1 16.57      1  41        0         1
#> 188.3 16.16      1  46        0         1
#> 184.1 17.77      1  38        0         0
#> 76.2  19.22      1  54        0         1
#> 46    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 119   24.00      0  17        0         0
#> 198   24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 22    24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 143   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 94    24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 83    24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 156.1 24.00      0  50        1         0
#> 22.1  24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 17    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 94.1  24.00      0  51        0         1
#> 75.1  24.00      0  21        1         0
#> 7     24.00      0  37        1         0
#> 198.1 24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 31.1  24.00      0  36        0         1
#> 102.1 24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 131.1 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 148   24.00      0  61        1         0
#> 132   24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 22.3  24.00      0  52        1         0
#> 64.1  24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 22.4  24.00      0  52        1         0
#> 7.1   24.00      0  37        1         0
#> 156.2 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 74.1  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 193   24.00      0  45        0         1
#> 64.2  24.00      0  43        0         0
#> 163.2 24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 17.1  24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 132.2 24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 95    24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 147   24.00      0  76        1         0
#> 132.3 24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 148.1 24.00      0  61        1         0
#> 109   24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.543          NA        NA      NA
#> 2 age, Cure model          0.00982        NA        NA      NA
#> 3 grade_ii, Cure model    -0.241          NA        NA      NA
#> 4 grade_iii, Cure model    0.917          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00371        NA        NA      NA
#> 2 grade_ii, Survival model   0.199          NA        NA      NA
#> 3 grade_iii, Survival model  0.205          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.543263          0.009819         -0.240718          0.917131  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 248.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.543262569      0.009818745     -0.240717945      0.917130747 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003708756      0.198924136      0.204613063 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85606812 0.84864271 0.33403692 0.78100450 0.46486484 0.77330962
#>   [7] 0.71955835 0.43567879 0.28287726 0.38586173 0.71955835 0.36542922
#>  [13] 0.34479254 0.44560534 0.20722433 0.78866380 0.15429894 0.49269733
#>  [19] 0.51976715 0.38586173 0.62162592 0.89286073 0.81135146 0.69582669
#>  [25] 0.98608452 0.18101762 0.46486484 0.51976715 0.11289435 0.87809419
#>  [31] 0.27076622 0.85606812 0.95778142 0.92922996 0.49269733 0.80378888
#>  [37] 0.57930389 0.36542922 0.28287726 0.28287726 0.11289435 0.97198608
#>  [43] 0.11289435 0.25838045 0.03643715 0.64669292 0.97904491 0.98608452
#>  [49] 0.91472463 0.88549342 0.66328362 0.92922996 0.71955835 0.22045199
#>  [55] 0.51976715 0.07880205 0.90020860 0.63004134 0.40587374 0.15429894
#>  [61] 0.92198440 0.60481518 0.65501247 0.74291221 0.18101762 0.67152032
#>  [67] 0.82634068 0.57930389 0.60481518 0.96489819 0.23353392 0.42569556
#>  [73] 0.51976715 0.74291221 0.23353392 0.78866380 0.34479254 0.74291221
#>  [79] 0.69582669 0.46486484 0.51976715 0.56207283 0.85606812 0.81135146
#>  [85] 0.67971048 0.94355839 0.90020860 0.84120856 0.40587374 0.69582669
#>  [91] 0.82634068 0.44560534 0.94355839 0.07880205 0.28287726 0.03643715
#>  [97] 0.57930389 0.56207283 0.28287726 0.67971048 0.74291221 0.63004134
#> [103] 0.49269733 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   155    81    90    26    55   100    79   105    36   128  79.1    68   190 
#> 13.08 14.06 20.94 15.77 19.34 16.07 16.23 19.75 21.19 20.35 16.23 20.62 20.81 
#>   170    63    39    92    76    97 128.1    41   177   133   192    77   113 
#> 19.54 22.77 15.59 22.92 19.22 19.14 20.35 18.02 12.53 14.65 16.44  7.27 22.86 
#>    58  97.1    69    14   153 155.1    61   159  76.1   167     8  68.1    99 
#> 19.34 19.14 23.23 12.89 21.33 13.08 10.12 10.55 19.22 15.55 18.43 20.62 21.19 
#>  36.1  69.1   183  69.2   197   168   110   149  77.1    42   140    30 159.1 
#> 21.19 23.23  9.24 23.23 21.60 23.72 17.56  8.37  7.27 12.43 12.68 17.43 10.55 
#>  79.2   169  97.2   129    37   184   150  92.1    56    51   111   188 113.1 
#> 16.23 22.41 19.14 23.41 12.52 17.77 20.33 22.92 12.21 18.23 17.45 16.16 22.86 
#>   106    57   8.1  51.1   145    66   166  97.3 188.1  66.1  39.1 190.1 188.2 
#> 16.67 14.46 18.43 18.23 10.07 22.13 19.98 19.14 16.16 22.13 15.59 20.81 16.16 
#> 192.1  55.1  97.4   179 155.2 133.1   171    93  37.1    13 150.1 192.2  57.1 
#> 16.44 19.34 19.14 18.63 13.08 14.65 16.57 10.33 12.52 14.34 20.33 16.44 14.46 
#> 170.1  93.1 129.1  99.1 168.1   8.2 179.1  36.2 171.1 188.3 184.1  76.2    46 
#> 19.54 10.33 23.41 21.19 23.72 18.43 18.63 21.19 16.57 16.16 17.77 19.22 24.00 
#>    75   119   198   142   116    22   122    54   143    31   156   176   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    94   131   112    83   102     2 156.1  22.1 196.1    17   163    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1  75.1     7 198.1    65  31.1 102.1    71    62    74   144 131.1  22.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    64   148   132    35 163.1    28  22.3  64.1   173     9   152  22.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1 156.2     3   121  74.1   146  98.1    21   118  21.1    84   193  64.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.2 132.1  17.1   186   3.1    11 132.2    67   161    34    53    95    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 132.3   174 148.1   109  87.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01224981                0.65942981                0.16598288 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.453103274             0.009018644             0.141751865 
#>   grade_iii, Cure model 
#>             0.379118598 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 164   23.60      1  76        0         1
#> 117   17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 45    17.42      1  54        0         1
#> 14    12.89      1  21        0         0
#> 123   13.00      1  44        1         0
#> 69    23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 107   11.18      1  54        1         0
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 197   21.60      1  69        1         0
#> 187.1  9.92      1  39        1         0
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 55    19.34      1  69        0         1
#> 60.1  13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 197.1 21.60      1  69        1         0
#> 26    15.77      1  49        0         1
#> 105   19.75      1  60        0         0
#> 192.2 16.44      1  31        1         0
#> 18    15.21      1  49        1         0
#> 4.2   17.64      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 153   21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 133   14.65      1  57        0         0
#> 113   22.86      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 68    20.62      1  44        0         0
#> 70     7.38      1  30        1         0
#> 29.1  15.45      1  68        1         0
#> 57    14.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 100   16.07      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 4.3   17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 66    22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 41    18.02      1  40        1         0
#> 192.3 16.44      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 111   17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 93.1  10.33      1  52        0         1
#> 168   23.72      1  70        0         0
#> 107.2 11.18      1  54        1         0
#> 42    12.43      1  49        0         1
#> 60.2  13.15      1  38        1         0
#> 49    12.19      1  48        1         0
#> 13    14.34      1  54        0         1
#> 139   21.49      1  63        1         0
#> 86    23.81      1  58        0         1
#> 61    10.12      1  36        0         1
#> 192.4 16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 24    23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 14.1  12.89      1  21        0         0
#> 195.1 11.76      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 170   19.54      1  43        0         1
#> 49.1  12.19      1  48        1         0
#> 111.1 17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 55.1  19.34      1  69        0         1
#> 58    19.34      1  39        0         0
#> 199.1 19.81      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 6.1   15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 5     16.43      1  51        0         1
#> 76.1  19.22      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 194   22.40      1  38        0         1
#> 165   24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 44    24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 138.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 75    24.00      0  21        1         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 141   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 115.1 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 17.1  24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 141.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 182.1 24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 182.2 24.00      0  35        0         0
#> 3.1   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 103.1 24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 17.2  24.00      0  38        0         1
#> 95.1  24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 176.2 24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 82.1  24.00      0  34        0         0
#> 172.1 24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 152.1 24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 3.2   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 3.3   24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 132.1 24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 185.1 24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 103.2 24.00      0  56        1         0
#> 48.1  24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 19.1  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 142.1 24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 151.1 24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 19.2  24.00      0  57        0         1
#> 27.1  24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 53.1  24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.453          NA        NA      NA
#> 2 age, Cure model          0.00902        NA        NA      NA
#> 3 grade_ii, Cure model     0.142          NA        NA      NA
#> 4 grade_iii, Cure model    0.379          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0122        NA        NA      NA
#> 2 grade_ii, Survival model    0.659         NA        NA      NA
#> 3 grade_iii, Survival model   0.166         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.453103          0.009019          0.141752          0.379119  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254.3 
#> Residual Deviance: 252.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.453103274      0.009018644      0.141751865      0.379118598 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01224981       0.65942981       0.16598288 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3385666051 0.0090944903 0.2836014879 0.3733985174 0.3733985174
#>   [6] 0.5753158144 0.3271929447 0.7099606214 0.6976151043 0.0238097857
#>  [11] 0.9109494499 0.8222810753 0.8597685165 0.6611490056 0.0842679723
#>  [16] 0.9109494499 0.7719478267 0.2836014879 0.1641809737 0.6611490056
#>  [21] 0.9617504757 0.0842679723 0.4816589972 0.1465678227 0.3733985174
#>  [26] 0.5634218549 0.5046389229 0.1064124676 0.5398550274 0.5873000724
#>  [31] 0.0390555223 0.8222810753 0.8095917187 0.9872170421 0.3501450032
#>  [36] 0.9745066333 0.3617001393 0.1218389301 0.9490750892 0.5398550274
#>  [41] 0.6237978769 0.4370237783 0.2306087468 0.4590590183 0.0146497566
#>  [46] 0.7469627151 0.0697189593 0.0566378078 0.8980915257 0.2515772056
#>  [51] 0.3733985174 0.9363420542 0.3051353340 0.2105932229 0.1380995393
#>  [56] 0.7346299550 0.2727413677 0.5280234212 0.8597685165 0.0049282876
#>  [61] 0.8222810753 0.7594190748 0.6611490056 0.7845833199 0.6361578802
#>  [66] 0.0987970762 0.0021536099 0.8852254180 0.3733985174 0.6486124395
#>  [71] 0.0146497566 0.1913154100 0.0238097857 0.1140358405 0.0566378078
#>  [76] 0.0390555223 0.0004379487 0.6115156875 0.0768890897 0.7099606214
#>  [81] 0.4816589972 0.1552987352 0.7845833199 0.3051353340 0.1641809737
#>  [86] 0.1641809737 0.5873000724 0.2409931429 0.5046389229 0.1298560617
#>  [91] 0.4590590183 0.2105932229 0.2620797623 0.0335022187 0.4258649560
#>  [96] 0.1913154100 0.4370237783 0.0504067997 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    23   164   117   192 192.1   180    45    14   123    69   187   107    93 
#> 16.92 23.60 17.46 16.44 16.44 14.82 17.42 12.89 13.00 23.23  9.92 11.18 10.33 
#>    60   197 187.1    56 117.1    55  60.1    77 197.1    26   105 192.2    18 
#> 13.15 21.60  9.92 12.21 17.46 19.34 13.15  7.27 21.60 15.77 19.75 16.44 15.21 
#>     6   153    29   133   113 107.1    43    91   106    25   130    68    70 
#> 15.64 21.33 15.45 14.65 22.86 11.18 12.10  5.33 16.67  6.32 16.47 20.62  7.38 
#>  29.1    57    79     8   100   129   177   175    66   101    41 192.3   149 
#> 15.45 14.46 16.23 18.43 16.07 23.41 12.53 21.91 22.13  9.97 18.02 16.44  8.37 
#>   111   179   166   154   110   167  93.1   168 107.2    42  60.2    49    13 
#> 17.45 18.63 19.98 12.63 17.56 15.55 10.33 23.72 11.18 12.43 13.15 12.19 14.34 
#>   139    86    61 192.4    81 129.1    76  69.1    36  66.1 113.1    24    96 
#> 21.49 23.81 10.12 16.44 14.06 23.41 19.22 23.23 21.19 22.13 22.86 23.89 14.54 
#>   136  14.1  26.1   170  49.1 111.1  55.1    58 133.1    88   6.1   150 100.1 
#> 21.83 12.89 15.77 19.54 12.19 17.45 19.34 19.34 14.65 18.37 15.64 20.33 16.07 
#> 179.1   184    92     5  76.1  79.1   194   165    46   163     3   151    44 
#> 18.63 17.77 22.92 16.43 19.22 16.23 22.40 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    95   176   138 138.1   135    75   144    17    27   109   103   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 163.1   174    19     9   172    64   182  17.1     2   185    34 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    53   198    65   178 182.1    82   116 182.2   3.1   191 103.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2  95.1 176.1    84 176.2   112  82.1 172.1   132 152.1   160   122  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2  64.1   3.3 112.1 132.1   137    11 185.1  75.1    87   121    48    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2  48.1  64.2  19.1     7 142.1    47   146 151.1    20  19.2  27.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1    71 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01601888                0.42744662                0.52524324 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.133143010            -0.002248185            -0.020733596 
#>   grade_iii, Cure model 
#>             0.666773718 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 180   14.82      1  37        0         0
#> 91     5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 37    12.52      1  57        1         0
#> 117   17.46      1  26        0         1
#> 155   13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 101    9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 81    14.06      1  34        0         0
#> 184   17.77      1  38        0         0
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 187    9.92      1  39        1         0
#> 78.1  23.88      1  43        0         0
#> 197   21.60      1  69        1         0
#> 155.1 13.08      1  26        0         0
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 91.1   5.33      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 199   19.81      1  NA        0         1
#> 158.1 20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 166   19.98      1  48        0         0
#> 130.1 16.47      1  53        0         1
#> 113   22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 155.2 13.08      1  26        0         0
#> 187.1  9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 14    12.89      1  21        0         0
#> 188.1 16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 97    19.14      1  65        0         1
#> 171   16.57      1  41        0         1
#> 166.1 19.98      1  48        0         0
#> 85    16.44      1  36        0         0
#> 57.1  14.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 155.3 13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 164   23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 61    10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 133   14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 91.2   5.33      1  61        0         1
#> 50.1  10.02      1  NA        1         0
#> 40.1  18.00      1  28        1         0
#> 106   16.67      1  49        1         0
#> 158.2 20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 52.1  10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 128   20.35      1  35        0         1
#> 108   18.29      1  39        0         1
#> 166.2 19.98      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 96.1  14.54      1  33        0         1
#> 145   10.07      1  65        1         0
#> 101.1  9.97      1  10        0         1
#> 134.1 17.81      1  47        1         0
#> 190.1 20.81      1  42        1         0
#> 15    22.68      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 166.3 19.98      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 113.1 22.86      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 177   12.53      1  75        0         0
#> 139   21.49      1  63        1         0
#> 168   23.72      1  70        0         0
#> 158.3 20.14      1  74        1         0
#> 26.1  15.77      1  49        0         1
#> 13    14.34      1  54        0         1
#> 5.1   16.43      1  51        0         1
#> 107   11.18      1  54        1         0
#> 40.2  18.00      1  28        1         0
#> 194.1 22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 129   23.41      1  53        1         0
#> 23.1  16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 61.1  10.12      1  36        0         1
#> 14.1  12.89      1  21        0         0
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 176   24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 120.1 24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 11.1  24.00      0  42        0         1
#> 120.2 24.00      0  68        0         1
#> 11.2  24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 11.3  24.00      0  42        0         1
#> 84    24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 156.1 24.00      0  50        1         0
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 120.3 24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 115.1 24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 141.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 196.1 24.00      0  19        0         0
#> 82.1  24.00      0  34        0         0
#> 118.1 24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 84.1  24.00      0  39        0         1
#> 143.1 24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 109.1 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 109.2 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 62.1  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 64    24.00      0  43        0         0
#> 83.1  24.00      0   6        0         0
#> 65.1  24.00      0  57        1         0
#> 65.2  24.00      0  57        1         0
#> 135.1 24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 115.2 24.00      0  NA        1         0
#> 148.1 24.00      0  61        1         0
#> 46    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 31.1  24.00      0  36        0         1
#> 94.1  24.00      0  51        0         1
#> 67    24.00      0  25        0         0
#> 198   24.00      0  66        0         1
#> 174.2 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 65.3  24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 9.1   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 3.1   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.133          NA        NA      NA
#> 2 age, Cure model         -0.00225        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0207         NA        NA      NA
#> 4 grade_iii, Cure model    0.667          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0160        NA        NA      NA
#> 2 grade_ii, Survival model    0.427         NA        NA      NA
#> 3 grade_iii, Survival model   0.525         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.133143         -0.002248         -0.020734          0.666774  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 257.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.133143010     -0.002248185     -0.020733596      0.666773718 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01601888       0.42744662       0.52524324 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4775250709 0.9600270217 0.1944602708 0.7768224192 0.5229329494
#>   [6] 0.6390746239 0.6879418966 0.2643200689 0.5920976044 0.0831355495
#>  [11] 0.0118602123 0.0270315789 0.8551018484 0.1439819272 0.1770661692
#>  [16] 0.1602151530 0.4444108096 0.5685732838 0.2461510361 0.8027175783
#>  [21] 0.0002634221 0.1519978444 0.3812760723 0.8809927136 0.0002634221
#>  [26] 0.0399556629 0.5920976044 0.7004511796 0.3310442421 0.9600270217
#>  [31] 0.0354015254 0.0712780818 0.0831355495 0.5803156783 0.0603672991
#>  [36] 0.1078442925 0.3310442421 0.0152762525 0.4663456021 0.0548698840
#>  [41] 0.5920976044 0.8809927136 0.2032523943 0.6512128350 0.3812760723
#>  [46] 0.9467177925 0.2828021833 0.1685557612 0.3211736676 0.1078442925
#>  [51] 0.3508125075 0.5229329494 0.1360328833 0.5920976044 0.2921634760
#>  [56] 0.7130117695 0.9334292255 0.0057887825 0.7638803877 0.8158277748
#>  [61] 0.2285738725 0.4888228196 0.3609671624 0.9600270217 0.2032523943
#>  [66] 0.3113403600 0.0831355495 0.0019296734 0.5002790998 0.7768224192
#>  [71] 0.4017936413 0.7130117695 0.0771987854 0.1857439038 0.1078442925
#>  [76] 0.5229329494 0.4229793889 0.2461510361 0.5002790998 0.8418791972
#>  [81] 0.8551018484 0.2285738725 0.0603672991 0.0225924643 0.0399556629
#>  [86] 0.2735293334 0.7510297912 0.1078442925 0.4017936413 0.0152762525
#>  [91] 0.4444108096 0.6755195129 0.0495665015 0.0035092613 0.0831355495
#>  [96] 0.4229793889 0.5569318600 0.3609671624 0.7382319641 0.2032523943
#> [101] 0.0270315789 0.9202200003 0.0086380415 0.2921634760 0.9070205802
#> [106] 0.8158277748 0.6512128350 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   180    91    41    52    57   123    37   117   155   158    92   194   101 
#> 14.82  5.33 18.02 10.42 14.46 13.00 12.52 17.46 13.08 20.14 22.92 22.40  9.97 
#>   170     8    76   125    81   184    93    78    58   188   187  78.1   197 
#> 19.54 18.43 19.22 15.65 14.06 17.77 10.33 23.88 19.34 16.16  9.92 23.88 21.60 
#> 155.1    42   130  91.1   136    68 158.1    60   190   166 130.1   113    18 
#> 13.08 12.43 16.47  5.33 21.83 20.62 20.14 13.15 20.81 19.98 16.47 22.86 15.21 
#>   153 155.2 187.1    40    14 188.1    25    45    97   171 166.1    85  57.1 
#> 21.33 13.08  9.92 18.00 12.89 16.16  6.32 17.42 19.14 16.57 19.98 16.44 14.46 
#>   105 155.3    23    43    77   164    10    61   134   133     5  91.2  40.1 
#> 19.75 13.08 16.92 12.10  7.27 23.60 10.53 10.12 17.81 14.65 16.43  5.33 18.00 
#>   106 158.2    86    96  52.1   100  43.1   128   108 166.2  57.2    26 184.1 
#> 16.67 20.14 23.81 14.54 10.42 16.07 12.10 20.35 18.29 19.98 14.46 15.77 17.77 
#>  96.1   145 101.1 134.1 190.1    15 197.1   111   159 166.3 100.1 113.1 125.1 
#> 14.54 10.07  9.97 17.81 20.81 22.68 21.60 17.45 10.55 19.98 16.07 22.86 15.65 
#>   177   139   168 158.3  26.1    13   5.1   107  40.2 194.1    70   129  23.1 
#> 12.53 21.49 23.72 20.14 15.77 14.34 16.43 11.18 18.00 22.40  7.38 23.41 16.92 
#>   183  61.1  14.1   143    83   165    62    44   118   200   196   156   122 
#>  9.24 10.12 12.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   176   120    65    11 120.1  11.1 120.2  11.2    87  11.3    84   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   137 156.1    75   191   141    82 120.3   174   103 141.1   135 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 118.1 174.1  84.1 143.1   178   161 109.1    72 109.2    31     3    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  62.1   146   148    22    94    64  83.1  65.1  65.2 135.1   173 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   132    47  31.1  94.1    67   198 174.2    54  65.3 122.1 146.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   9.1   186    48 200.1 165.1  12.1   3.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01257149                0.82890246                0.60355964 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.24096755              0.03098944             -0.23254808 
#>   grade_iii, Cure model 
#>              0.07280401 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55a857a1a2f8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 181   16.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 78    23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 158   20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 32    20.90      1  37        1         0
#> 169   22.41      1  46        0         0
#> 76    19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 81    14.06      1  34        0         0
#> 15    22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 60    13.15      1  38        1         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 183    9.24      1  67        1         0
#> 55    19.34      1  69        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 124    9.73      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 149    8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 187    9.92      1  39        1         0
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 180   14.82      1  37        0         0
#> 169.1 22.41      1  46        0         0
#> 70     7.38      1  30        1         0
#> 14    12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 23.1  16.92      1  61        0         0
#> 123   13.00      1  44        1         0
#> 91     5.33      1  61        0         1
#> 10    10.53      1  34        0         0
#> 26    15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 61    10.12      1  36        0         1
#> 68    20.62      1  44        0         0
#> 153   21.33      1  55        1         0
#> 76.1  19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 68.1  20.62      1  44        0         0
#> 184   17.77      1  38        0         0
#> 158.1 20.14      1  74        1         0
#> 23.2  16.92      1  61        0         0
#> 140.1 12.68      1  59        1         0
#> 89    11.44      1  NA        0         0
#> 195   11.76      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 26.1  15.77      1  49        0         1
#> 177.1 12.53      1  75        0         0
#> 155   13.08      1  26        0         0
#> 43    12.10      1  61        0         1
#> 168   23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 123.1 13.00      1  44        1         0
#> 183.1  9.24      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 127.1  3.53      1  62        0         1
#> 8     18.43      1  32        0         0
#> 57.1  14.46      1  45        0         1
#> 169.2 22.41      1  46        0         0
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 175   21.91      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 187.1  9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 25.1   6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 128   20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 187.2  9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 58.1  19.34      1  39        0         0
#> 168.2 23.72      1  70        0         0
#> 168.3 23.72      1  70        0         0
#> 39.1  15.59      1  37        0         1
#> 110   17.56      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 26.2  15.77      1  49        0         1
#> 36.1  21.19      1  48        0         1
#> 177.2 12.53      1  75        0         0
#> 100.1 16.07      1  60        0         0
#> 192   16.44      1  31        1         0
#> 199.1 19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 6     15.64      1  39        0         0
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 152   24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 118   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 196.1 24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 31.1  24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 138.1 24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 144.1 24.00      0  28        0         1
#> 191   24.00      0  60        0         1
#> 33.1  24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 27.1  24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 160.1 24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 191.1 24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 148.1 24.00      0  61        1         0
#> 122.1 24.00      0  66        0         0
#> 27.2  24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 186.1 24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 75.2  24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 104.1 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 12.1  24.00      0  63        0         0
#> 193.2 24.00      0  45        0         1
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.24          NA        NA      NA
#> 2 age, Cure model           0.0310        NA        NA      NA
#> 3 grade_ii, Cure model     -0.233         NA        NA      NA
#> 4 grade_iii, Cure model     0.0728        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0126        NA        NA      NA
#> 2 grade_ii, Survival model    0.829         NA        NA      NA
#> 3 grade_iii, Survival model   0.604         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.24097           0.03099          -0.23255           0.07280  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 252.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.24096755       0.03098944      -0.23254808       0.07280401 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01257149       0.82890246       0.60355964 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.040186148 0.402912512 0.748831372 0.001066076 0.350212811 0.197832505
#>   [7] 0.095197533 0.154731581 0.054619731 0.251897074 0.826282928 0.650179187
#>  [13] 0.047152433 0.508878321 0.661292139 0.188951388 0.815162193 0.562849508
#>  [19] 0.423968914 0.903153839 0.224488236 0.541312127 0.978618372 0.329705055
#>  [25] 0.924932380 0.617206768 0.870694147 0.946636512 0.584546487 0.606241761
#>  [31] 0.054619731 0.935820377 0.705181900 0.573695366 0.716191547 0.455527493
#>  [37] 0.508878321 0.350212811 0.683412740 0.967906479 0.837407365 0.477003122
#>  [43] 0.737981091 0.104118649 0.848583442 0.163140305 0.113011608 0.251897074
#>  [49] 0.290051877 0.146117654 0.163140305 0.309670283 0.197832505 0.350212811
#>  [55] 0.716191547 0.628272345 0.477003122 0.748831372 0.672327073 0.804016846
#>  [61] 0.005935652 0.792894730 0.683412740 0.903153839 0.402912512 0.005935652
#>  [67] 0.978618372 0.270619104 0.628272345 0.054619731 0.024469602 0.121803024
#>  [73] 0.086308489 0.001066076 0.870694147 0.224488236 0.946636512 0.392221335
#>  [79] 0.180255492 0.299803963 0.870694147 0.077786395 0.381547864 0.781774546
#>  [85] 0.595350033 0.444927996 0.224488236 0.005935652 0.005935652 0.541312127
#>  [91] 0.319657473 0.215345148 0.848583442 0.477003122 0.121803024 0.748831372
#>  [97] 0.455527493 0.423968914 0.280260341 0.121803024 0.032490019 0.339947705
#> [103] 0.530368905 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    63   181   177    78    23   158   197    32   169    76   159    81    15 
#> 22.77 16.46 12.53 23.88 16.92 20.14 21.60 20.90 22.41 19.22 10.55 14.06 22.68 
#>   125    60   150   107   167    85   183    55    39   127    30   149   133 
#> 15.65 13.15 20.33 11.18 15.55 16.44  9.24 19.34 15.59  3.53 17.43  8.37 14.65 
#>   187    25    18   180 169.1    70    14    29   140   100 125.1  23.1   123 
#>  9.92  6.32 15.21 14.82 22.41  7.38 12.89 15.45 12.68 16.07 15.65 16.92 13.00 
#>    91    10    26   154   139    61    68   153  76.1   108    90  68.1   184 
#>  5.33 10.53 15.77 12.63 21.49 10.12 20.62 21.33 19.22 18.29 20.94 20.62 17.77 
#> 158.1  23.2 140.1    57  26.1 177.1   155    43   168    42 123.1 183.1 181.1 
#> 20.14 16.92 12.68 14.46 15.77 12.53 13.08 12.10 23.72 12.43 13.00  9.24 16.46 
#> 168.1 127.1     8  57.1 169.2   164    36   175  78.1 187.1    58  25.1   130 
#> 23.72  3.53 18.43 14.46 22.41 23.60 21.19 21.91 23.88  9.92 19.34  6.32 16.47 
#>   128    51 187.2   194   106    37   157   188  58.1 168.2 168.3  39.1   110 
#> 20.35 18.23  9.92 22.40 16.67 12.52 15.10 16.16 19.34 23.72 23.72 15.59 17.56 
#>   105  61.1  26.2  36.1 177.2 100.1   192    88    99   129    45     6    27 
#> 19.75 10.12 15.77 21.19 12.53 16.07 16.44 18.37 21.19 23.41 17.42 15.64 24.00 
#>    64    21    38   196    87   104   156   120    33   186   162  87.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   160    75  75.1   152   165 121.1   173   146   138   144    80    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    44 196.1     3   182   200    31   193  31.1    71   161   3.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1   185 185.1     2   142 144.1   191  33.1    74    72  27.1   148   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   126     7   122    22    95    47 191.1    35  47.1    53    11    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1   176   141 161.1 148.1 122.1  27.2   103 103.1   143    84    12 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17  75.2    19 104.1    83  12.1 193.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>